Статті в журналах: "Service industries"

1

Dickens, Paul. "Human Services as Service Industries." Service Industries Journal 16, no. 1 (January 1996): 82–91. http://dx.doi.org/10.1080/02642069600000008.

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2

Goto, Kazuhiro. "Risk Service Industries." Hokengakuzasshi (JOURNAL of INSURANCE SCIENCE), no. 605 (2009): 73–92. http://dx.doi.org/10.5609/jsis.2009.605_73.

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3

Hawthorn, John. "Food service industries." Proceedings of the Royal Society of Edinburgh. Section B. Biological Sciences 87, no. 3-4 (1986): 263–68. http://dx.doi.org/10.1017/s026972700000436x.

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SynopsisThis paper deals with a miscellaneous group of food-related industries not directly covered by the principal papers of the Symposium. Some of these serve the needs of larger processing companies for intermediates. Others produce a variety of products for retail sale. Few are large employers of labour or capital but cumulatively they make a significant contribution to the Scottish economy. The paper lists the type of manufacture in some detail, and the product range—from tripe dressing to confectionery—is too wide to permit easy classification.These industries serve a virtually non-expanding total market, and are thus for the most part highly competitive, quality and service as much as price being the chief weapon of survival. In general, production is concentrated in small units of modest capital investment. Thus they have the advantage of flexibility and can quickly change product emphasis as circumstances demand, in contrast to the giants of the food industry, limited as they are by the inertia of their size. But these ‘service’ industries have the double disadvantage of limited access to technical and scientific resources, and the burden of complex legislation which falls proportionately more heavily on them than on their larger brethren.The paper examines aspects of these limitations and outlines suggestions for the practical resolution of some of these disadvantages.

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4

S. T. "The Service Industries." Business History Review 64, no. 3 (1990): ix—x. http://dx.doi.org/10.1017/s0007680500058591.

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5

Bharadwaj, Sundar G., P. Rajan Varadarajan, and John Fahy. "Sustainable Competitive Advantage in Service Industries: A Conceptual Model and Research Propositions." Journal of Marketing 57, no. 4 (October 1993): 83–99. http://dx.doi.org/10.1177/002224299305700407.

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The purpose of competitive strategy is to achieve a sustainable competitive advantage (SCA) and thereby enhance a business's performance. The authors focus on the distinctive organizational skills and resources underlying SCA in service industries and the moderating effects of the characteristics of services, service industries, and firms within an industry on the skills and resources underlying a business's competitive positional advantages. The proposed conceptual model of SCA in service industries and propositions builds on relevant literature in the fields of marketing, strategic management, and industrial organization economics.

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6

Damien, Broussolle. "Service, Trade in Services and Trade of Services Industries." Journal of World Trade 48, Issue 1 (February 1, 2014): 31–58. http://dx.doi.org/10.54648/trad2014002.

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The paper focuses on the issue of international cross-border trade in services. It argues that its current understanding may be quite misleading because the concept of service is not accurately delineated and because available data are not appropriately understood. First, bearing in mind Hill's (1999) service definition, the paper discusses the extent of service-producing activities. It stresses that 'services' producing 'knowledge capturing products' should be recognized as genuine goods-producing activities. It also asserts that cross-border trade in genuine services is still scarce, even if Information and Communication Technologies (ICT) have made it easier in some cases. Second, the paper explains that the picture of trade in services, which the Balance of Payments (BOP) displays, although improving, is nevertheless quite heterogeneous and blurring. Contrary to a common view, the BOP does not provide accurate information about trade of service industries. Moreover, still unfamiliar is the fact that, for several significant services, service industries are not the major actual international service traders.

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7

Dr. A. Venkatachalam, Dr A. Venkatachalam, and A. Kalidass A. Kalidass. "Time Management of Employees in Service Industries." Paripex - Indian Journal Of Research 3, no. 7 (January 1, 2012): 1–2. http://dx.doi.org/10.15373/22501991/july2014/17.

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8

Adhikari, Yadav. "Effect of Education on Service Quality of Service Industries." Social Inquiry: Journal of Social Science Research 4, no. 1 (December 31, 2022): 64–83. http://dx.doi.org/10.3126/sijssr.v4i1.64807.

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The service sectors always focus to upgrade and improve the service quality when they pursue the new product or services to the customers. Based on the service quality literature, this paper assesses the five dimension of SERVQUAL model and make a gap analysis including antecedents of gaps and effects of education to mould the service quality in different organizational settings, most importantly in the service sector. To collect the information and knowledge on service quality, different service quality literature, practices as well as notions of the service delivery of different service sector is identified, reviewed, and conceptualized. The literature and different findings show that there is a positive and significant mediating effect of education that remains with service quality in the different organizational settings. Basically, in the service sector, quality service plays a vital role to the targeted customer for perceiving about the products or delivered services. Hence, the service provider is the major determinant factor for stretching the updated service quality ubiquitously to meet customer expectations.

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9

Mudasiru Olawale Ibrahim. "Strengthening TVET in Nigeria to meet the industry 4.0 needs in the changing world of works." World Journal of Advanced Research and Reviews 19, no. 1 (July 30, 2023): 580–87. http://dx.doi.org/10.30574/wjarr.2023.19.1.1338.

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The modern workplace had dramatically changed because the nature of work, workforce and work relations had changed; hence, the changes in the needs of industries. The aim of this study was to examine the relationship between Nigerian industries and the factor inputs that formed the needs of industries with keen aim on the Technical and Vocational Education and Training. Using the Central Bank of Nigeria Data, Vector Autoregression was used to test the relationship among the series of yearly output of all industries and the service sector in Nigeria from 1982 to 2021. The Technical and Professional Service subsector was used as one of the independent variables in the service sector. The Johansen Cointegration Test was used to test for convergence and long-term relations between industries and the service sector. The Wald Test was used to test for the significance of coefficients of Technical Services inputs on the Industrial Output. The VAR shows that more than 95% variation in the Industrial Output are explainable by variations in the factor inputs. The pairwise Granger Causality Test was used to test for the short run causality between the industrial output and the factor input. The study found that of Technical and Telecommunication services impacted on the changes in the Industrial Output in in the short run. The study recommended the need for the increase in the funding of TVET institutions, improvement in the quality of TVET training to include soft skills in order to meet the industrial requirements for the changing world of works and increased public – private partnership in order to transfer class training to the field.

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10

Graedel, T. E. "Greening the Service Industries." Service Industries Journal 23, no. 5 (November 2003): 48–64. http://dx.doi.org/10.1080/02642060308565623.

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11

&NA;. "Logistics in Service Industries." Journal of Clinical Engineering 16, no. 6 (November 1991): 527. http://dx.doi.org/10.1097/00004669-199111000-00017.

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12

Allon, Gad, and Awi Federgruen. "Competition in Service Industries." Operations Research 55, no. 1 (February 2007): 37–55. http://dx.doi.org/10.1287/opre.1060.0337.

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13

Lloyd, Bruce. "Management in service industries." Long Range Planning 24, no. 2 (April 1991): 121. http://dx.doi.org/10.1016/0024-6301(91)90119-9.

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14

Klingner, Stephan, Stephanie Pravemann, and Michael Becker. "Service productivity in different industries – an empirical investigation." Benchmarking: An International Journal 22, no. 2 (March 2, 2015): 238–53. http://dx.doi.org/10.1108/bij-04-2013-0047.

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Purpose – The purpose of this paper is to quantitatively evaluate of the current status of productivity management of industrial and non-industrial service companies in Germany. Based on that knowledge, best practices and needs regarding tools and methods can be identified. Design/methodology/approach – In two qualitative pre-studies the theoretical foundation of service productivity was built. Using this knowledge, a quantitative empirical survey was conducted, including almost 2000 service companies. The sampling frame was based on a company database provided by Hoppenstedt. Samples were randomly selected using proportionate stratified sampling. Findings – The findings show the economic importance and meaningfulness of service productivity management, independently from the industry. Research limitations/implications – Due to the chosen population, the findings are limited to Germany. Furthermore, a more detailed comparison of service industries beyond industrial and non-industrial services was not feasible. Practical implications – The data contained evidence that companies conducing productivity management are more successful than those who are not. This underlines the economic importance service productivity management. Originality/value – The paper provides reliable, quantitative insights of the current status, demands, and benefits of service productivity management in the industrial as well as non-industrial sector.

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15

Özdemir, Abdulkadir, and Hasan Asil. "The Effect of IT on After-sales Service in Small- and Medium-Sized Industries." TELKOMNIKA Indonesian Journal of Electrical Engineering 16, no. 1 (October 1, 2015): 131. http://dx.doi.org/10.11591/tijee.v16i1.1596.

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<p>In a world where competition is based on quality of service, quality distance between products becomes smaller day by day. Nowadays, after-sales service can be considered as an inseparable part of industrial products. The development of IT has paved the way for offering better services for customers in a shorter time in a way that these days it is called the electronic after-sales service. Based on this, the present research has analyzed the effect of using IT on after-sales service in small- and medium-sized industries. This research is a causal or a posteriori one which tries to answer the question of whether the use of IT can influence the quality of after-sales service offered by small- and medium-sized industries. According to results with a certainty level of %5, IT influences the accessibility of after-sales service in small- and medium-sized industries.</p>

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16

Huang, Yan, Xiaoxia Wu, and Yong’e Li. "Spatial Pattern Evolution and Influencing Factors on Industrial Agglomeration: Evidence from Pearl River Delta Urban Agglomeration." Journal of Environmental and Public Health 2022 (June 20, 2022): 1–16. http://dx.doi.org/10.1155/2022/6477495.

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In order to clarify the spatial pattern and influencing factors on industrial agglomeration in urban agglomerations, based on the data of prefecture-level cities from 2006 to 2018, this paper uses spatial standard deviation ellipse to analyze the spatial pattern evolution of manufacturing, producer services, consumer services, and foreign-invested industries and takes a dynamic spatial Durbin model to empirically test the influencing factors of industrial agglomeration in Pearl River Delta (PRD) urban agglomeration. The main conclusions are as follows: 1) the degree of industrial agglomeration is at a low level and the difference in the industrial agglomeration level between cities is mainly manifested in the service industries; 2) manufacturing and foreign-invested industries have entered the stage of industrial diffusion, and all types of industries show an east (by south)-to-west (by north) pattern, with a trend of expansion to the south and north; 3) the agglomeration level of service industries and foreign-invested industries on the east bank of the Pearl River is higher than that on the west; and 4) from the empirical results, there is a general inertia effect in the industrial agglomeration and a siphon effect in the manufacturing agglomeration. Economic scale, transportation infrastructure, government intervention, opening up, and urban environment can all positively influence the agglomeration in some industries, with the apparent spatial spillover effects of each influencing factor. In addition, from the long-term factors of industrial agglomeration, the coordinated development of urban agglomeration is beneficial to the agglomeration of manufacturing and producer services. The research significance of this paper is that it can practically provide a more comprehensive reference for the impact mechanism of industrial agglomeration in urban agglomerations of China.

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17

Ushkova, Tat'yana. "CREATIVE INDUSTRIES AS A SPECIFIC SERVICE SECTOR." Actual directions of scientific researches of the XXI century: theory and practice 12, no. 2 (July 8, 2024): 19–31. http://dx.doi.org/10.34220/2308-8877-2024-12-2-19-31.

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The modern economy is undergoing processes of structural transformation. The economies of developed countries go through these transformations somewhat earlier, and the economies of developing countries - with a time shift. At the same time, one of the general fundamental trends is a decrease in the share of traditional sectors, in particular industry, in the output structure. As a result, there is a transition to a post-industrial economy. The transformation processes do not end there. The quantitatively developing tertiary (service) sector of the economy is also changing its structure. It highlights the creative economy sector, which is based on creative industries. This is a specific sector of the modern service industry. The article analyzes the role of creative industries as a specific sector of the service sector in the context of the transition from an industrial type of production to a post-industrial one. The author emphasizes the influence of creative industries on economic development and innovation, based on an analysis of changes in the structure of employment and the specifics of consumption in developed countries. Particular attention is paid to how the expansion and deepening of creative industries contributes to economic progress, greater innovation and changes in the nature and structure of employment, transforming society as a whole. The article also examines trends in the development of creative industries and their ability to adapt to the rapidly changing conditions of the global market, emphasizing their role in the formation of a model of sustainable economic and social development. The need to strengthen government support for creative industries is pointed out, because they can become one of the key factors in ensuring Russia's competitiveness in a post-normal world.

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18

Chen, Yu Qing, and Wen Ping Wang. "Research on Key Service Factors’ Identification of Producer Service Value Network of China’s High-End Manufacturing Based on Grey Relational Analysis." Advanced Materials Research 933 (May 2014): 807–12. http://dx.doi.org/10.4028/www.scientific.net/amr.933.807.

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The identification of key producer service factors is of great significance to promote the producer service network construction and speed up the high-end manufacturing development. Based on grey relational analysis theory, this research proposes the methods to identify the key service factors of China's high-end manufacturing producer service value network, and then validates it by the relevant industries data and practical application analysis. The global analysis shows that the key producer service factors are scientific research and technical services, business services, and financial services, etc. Moreover, the industry-classified analysis shows that the key service factors of different industries are different. Thus the China's government should develop the structural embedded producer services, enhance the capacity of scientific research and technical services, promote marketing channel construction, improve the financial services level, and take different policies and measures according to the specific situations of different high-end manufacturing industries.

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19

Riofita, Hendra, and Muhammad Amjed Iqbal. "Enhancing Islamic Higher Education Image as the Halal Industry Driving Indonesian Halal Industries." Journal of Digital Marketing and Halal Industry 4, no. 1 (April 30, 2022): 77–90. http://dx.doi.org/10.21580/jdmhi.2022.4.1.12439.

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Islamic higher education image as the halal industry driving Indonesian halal industries should be improved along with the increasing role of higher educations to succeed halal industry, through the services provided to the implementation of three pillars in the fields of academics, research and supporting elements or community services. This study aims to develop e-halal service quality, as an electronic service to enhance the image. Considering that electronic services are part of service innovation, and there is not enough evidence for such service innovation to enhance image, this study also aims to develop service recovery as an antecedent of e-halal service quality and Islamic higher education image, respectively. Furthermore, considering the image as the halal industry driving Indonesian halal industries is a consequence of service recovery and e-halal service quality, respectively, this study also develops the variables based on social exchange theory. Primary data is taken using a questionnaire sent to the leadership elements of Indonesian Private Islamic Higher Education via google link, and analyzed using SPSS and Amos programs. The findings demonstrate that e-halal service quality and service recovery, respectively have significant effect on Islamic higher education image as the halal industry driving Indonesian halal industries. Service recovery also has a significant effect on e-halal service quality and can be a trigger for e-halal service quality to enhance Islamic higher education image as the halal industry driving Indonesian halal industries. Therefore, service recovery and e-service quality can develop social exchange theory to enhance Islamic higher education image as the halal industry driving Indonesian halal industries.

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20

Jin, Yanan, and Guoli Ou. "The Impacts of High-Speed Rail on Producer Service Industry Agglomeration: Evidence from China’s Yangtze River Delta Urban Agglomeration." Sustainability 15, no. 4 (February 15, 2023): 3581. http://dx.doi.org/10.3390/su15043581.

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The construction of the high-speed rail (HSR) network in China has greatly weakened the spatial barriers to the flow of production resources, which has become a key factor affecting the spatial layout of the producer service industry. Based on the panel data of 26 cities in the Yangtze River Delta urban agglomeration from 2005 to 2018, this paper uses a multi-phase difference-in-difference (DID) model to examine the impacts of HSR services on the agglomerations of the producer service industry and its subdivision industries from two perspectives, namely, specialized agglomeration and diversified agglomeration. The results show that: (1) on the whole, the opening of an HSR has a significant positive effect on the specialized agglomeration of the producer service industry and a significant negative effect on the diversified agglomeration; (2) in terms of subdivision industries, there exists significant industrial heterogeneity in the agglomeration effect of the producer service industry under HSR services, regardless of whether it is a specialized agglomeration or a diversified agglomeration; among them, the financial industry belongs to the “highly significant promotion” industry, while the other four subdivision industries belong to the “highly significant inhibition” industry.

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21

Bing Zhao, and Rungting Tu. "Performance Evaluation of Service Recovery Different Service Industries." International Journal of Digital Content Technology and its Applications 7, no. 6 (March 31, 2013): 462–69. http://dx.doi.org/10.4156/jdcta.vol7.issue6.52.

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22

Keaveney, Susan M. "Customer Switching Behavior in Service Industries: An Exploratory Study." Journal of Marketing 59, no. 2 (April 1995): 71–82. http://dx.doi.org/10.1177/002224299505900206.

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Customer switching behavior damages market share and profitability of service firms yet has remained virtually unexplored in the marketing literature. The author reports results of a critical incident study conducted among more than 500 service customers. The research identifies more than 800 critical behaviors of service firms that caused customers to switch services. Customers’ reasons for switching services were classified into eight general categories. The author then discusses implications for further model development and offers recommendations for managers of service firms.

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23

Kong, Lingming, and Xize Geng. "Influence of Integration of Advanced Manufacturing and Modern Service on Regional Economic Development." Northeast Asian Business and Economics Association 4, no. 1 (May 31, 2023): 15–25. http://dx.doi.org/10.51156/jnabe.2023.4.1.15.

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Purpose - Manufacturing is closely linked to productive services, with cross-infiltration between the two industries, blurring industry boundaries, emerging new industries and models, and a clear trend of deep integration. The integrated development of manufacturing and productive service industry not only helps to solve the difficulties faced by the manufacturing industry but also promotes the transformation and upgrading of the service industry. Design/Methodology/Approach - The historical origin of manufacturing and the productive service industry is revealed by summarizing and commenting on relevant literature at home and abroad. Findings - This paper analyzes the regional differences in China’s industrial integration development and reveals the composition and origin of the differences. The research on the spatial spillover effect of manufacturing and productive services integration is still limited to the spatial correlation model of the first-order adjacency matrix. Based on the adjacent space weight matrix, geographical distance space weight matrix, and economic distance space weight matrix, this paper constructs the spatial Durbin model. Research Implications - The theoretical research and measurement of the convergence degree between manufacturing and productive service industries and the related problems of the factors of the convergence development are summarized. Secondly, the development level of the two industries in China is measured by constructing the evaluation index system based on the coupling coordination model.

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24

Lesser, Barry, William J. Coffey, and James J. McRae. "Service Industries in Regional Development." Canadian Public Policy / Analyse de Politiques 16, no. 4 (December 1990): 465. http://dx.doi.org/10.2307/3550874.

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25

Hashim, Mohammad. "Measuring Reliability in Service Industries." Management Decision 25, no. 4 (April 1987): 46–51. http://dx.doi.org/10.1108/eb001462.

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26

Bell, D. A. "Employment. Manufacturing versus service industries." Electronics and Power 31, no. 9 (1985): 642. http://dx.doi.org/10.1049/ep.1985.0398.

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27

Leigh, Thomas W. "Competitive assessment in service industries." Planning Review 17, no. 1 (January 1989): 10–19. http://dx.doi.org/10.1108/eb054243.

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28

Hollins, William J. "Design in the SERVICE INDUSTRIES." Design Management Journal (Former Series) 3, no. 1 (June 10, 2010): 76–82. http://dx.doi.org/10.1111/j.1948-7169.1992.tb00591.x.

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29

Herbig, Paul, and John Milewicz. "Marketing Signals in Service Industries." Journal of Services Marketing 8, no. 2 (June 1994): 19–35. http://dx.doi.org/10.1108/08876049410058415.

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30

Johnston, Robert. "Service Industries - Improving Competitive Performance." Service Industries Journal 8, no. 2 (April 1988): 202–11. http://dx.doi.org/10.1080/02642068800000030.

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31

Rosenblum, Jeffrey, Arpad Horvath, and Chris Hendrickson. "Environmental Implications of Service Industries." Environmental Science & Technology 34, no. 22 (November 2000): 4669–76. http://dx.doi.org/10.1021/es9914083.

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32

Sarathy, Ravi. "Global strategy in service industries." Long Range Planning 27, no. 6 (December 1994): 115–24. http://dx.doi.org/10.1016/0024-6301(94)90169-4.

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33

Bouquet, Cyril, Louis Hébert, and Andrew Delios. "Foreign expansion in service industries." Journal of Business Research 57, no. 1 (January 2004): 35–46. http://dx.doi.org/10.1016/s0148-2963(02)00282-5.

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34

Asher, J. M. "Quantifying quality in service industries." Total Quality Management 1, no. 1 (January 1990): 89–94. http://dx.doi.org/10.1080/09544129000000010.

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35

Silvestro, Rhian, Robert Johnston, Lin Fitzgerald, and Chris Voss. "Quality Measurement in Service Industries." International Journal of Service Industry Management 1, no. 2 (August 1990): 54–66. http://dx.doi.org/10.1108/eum0000000002803.

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36

Van Dierdonck, R., and G. Brandt. "Materials management in service industries." Engineering Costs and Production Economics 19, no. 1-3 (May 1990): 157–63. http://dx.doi.org/10.1016/0167-188x(90)90038-j.

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37

Lambrecht, Anja, Katja Seim, Naufel Vilcassim, Amar Cheema, Yuxin Chen, Gregory S. Crawford, Kartik Hosanagar, et al. "Price discrimination in service industries." Marketing Letters 23, no. 2 (May 17, 2012): 423–38. http://dx.doi.org/10.1007/s11002-012-9187-0.

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38

Candilis Ed, Wray O. "United states service industries handbook." International Executive 30, no. 2-3 (1988): 29–30. http://dx.doi.org/10.1002/tie.5060300210.

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39

Asakawa, Kazuhiro, Kiyohiko Ito, Elizabeth L. Rose, and D. Eleanor Westney. "Internationalization in Japan’s service industries." Asia Pacific Journal of Management 30, no. 4 (September 18, 2012): 1155–68. http://dx.doi.org/10.1007/s10490-012-9325-5.

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40

Romanoff, E., and S. H. Levine. "Information, Interindustry Dynamics, and the Service Industries." Environment and Planning A: Economy and Space 25, no. 3 (March 1993): 305–16. http://dx.doi.org/10.1068/a250305.

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To understand the role of services in the interindustrial system, themes common to explanations in the literature on the increase in prominence of services are explored. Four related themes are suggested by the outcome. Growth in services is associated with increases in the demand for information, in instability, in complexity, and in externalities. These suggest a synthesis of the explanations for subsequent modeling of the role of services by means of the Sequential Interindustry Model (SIM), developed for examining transient processes. Services are viewed as distributive, servicing, and informative, each group with a successively larger information portion relative to materials in its output. System regulation by information flows is presented. With the focus on informative service industries, in response to perturbations these services inform producers, facing imperfect market information, of the adjustments necessary in order to approach equilibrium.

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41

Lee, Joongyeup, Beomsoo Kim, and Ae Ri Lee. "Priority evaluation factors for blockchain application services in public sectors." PLOS ONE 18, no. 3 (March 2, 2023): e0279445. http://dx.doi.org/10.1371/journal.pone.0279445.

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Blockchain is rapidly becoming established as the core technology of the Fourth Industrial Revolution. By combining blockchain to improve processes in existing industries, innovative new services will emerge, but services not effectively applied by blockchain will also develop. This study investigated the factors to be considered when applying the characteristics of blockchain technology to business. We developed a framework of blockchain service utility evaluation indexes using the analytic hierarchy process method. The Delphi method is used to identify highly effective blockchain application service cases by applying the evaluation framework to actual use cases in the public sector. By proposing a framework of utility evaluation factors for blockchain application services, this study provides a systematic foundation for blockchain business review. We address the question of “why blockchain should be applied to this service” by providing a more comprehensive approach than existing research, such as a fragmentary decision tree. Blockchains are expected to become more active along with the full-scale digital transformation of industries, and thus, we must examine the ways to broadly use blockchain as a base technology in a form applicable to the diverse industries and societies constituting the digital economy. Accordingly, this study presents an evaluation solution for promoting efficient policies and developing successful blockchain application services.

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42

Beyers, W. B., and D. P. Lindahl. "Strategic Behavior and Development Sequences in Producer Service Businesses." Environment and Planning A: Economy and Space 29, no. 5 (May 1997): 887–912. http://dx.doi.org/10.1068/a290887.

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Though it is widely recognized that the producer services are among the fastest growing industries in advanced economies, there is little research documenting development experiences of establishments within these industries. In this paper we address this topic by illustrating types of strategic behaviors exhibited by producer service firms and the effectiveness of these behaviors, developing a taxonomy of firm segments, and relating types of strategic behavior to this taxonomy. The paper is based on results from 444 in-depth interviews. Key variables addressed in the analysis are drawn from the industrial sociology and business strategy literature and include organizational structure, age, dynamics of client and geographic markets, and changes in services supplied.

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Montero, Juan J., and Matthias Finger. "Platformed! Network industries and the new digital paradigm." Competition and Regulation in Network Industries 18, no. 3-4 (September 2017): 217–39. http://dx.doi.org/10.1177/1783591718782310.

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Digitalization is creating a new model of industrial organization as online platform intermediate in multisided markets. The purpose of this article is to demonstrate how the platform paradigm provides a simple and useful framework to analyze the impact of digitalization on network industries. The first online platforms (searches and social platforms) disrupted content industries (music, newspapers, media, etc.) but as platforms proliferate, they are also disrupting industries with physical assets, such as accommodation. Disruption has reached network industries, and similar features emerge as they are all being “platformed.” On the one hand, platform-based services are replacing traditional network industry services. This is the case of electronic mail and postal service and carpooling platforms and railways. On the other hand, platforms are commoditizing network industry services, as they become mere sides in multisided markets coordinated by a platform. This is the case of telecom services and over the top providers (WhatsApp, Skype, and YouTube) and, potentially, of isolated transport services and “Mobility-as-a-Service” platforms. Regulation is becoming a key consideration. First, there is a debate on whether platforms should be subject to the same regulatory obligations as traditional network players. Second, there is a debate on whether platforms should have access to network services under regulated terms. Overall, platforms are replacing former monopolists in the central role as coordinators of the sector.

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Sciulli, Lisa M. "Service Brand Loyalty Antecedents: A Multimodal Analysis of Brand Name Attributes, and Attitudes Toward Services and Advertisements." American Business Review 26, no. 2 (November 2023): 578–600. http://dx.doi.org/10.37625/abr.26.2.578-600.

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The study investigates service brand loyalty antecedents as evidenced by brand name attributes and attitudes toward services and advertisements. Print advertisements from ten service industries are analyzed using multiple regression. A model is provided examining the influences of service type, brand name attributes, and attitudes toward the services and advertisements on respondent propensity for service brand loyalty. Significant loyalty resulted with all advertisements for attitudes toward the service provided and the advertisement with exception for airlines. Brand name attributes impacted only four services including design, healthcare, insurance, and airline offerings. Across all industries, service attitude had the greatest effect followed by advertisement attitude. Loyalty for design and insurance services was influenced by all three antecedents with the greatest impact demonstrated for health care. In contrast, airlines exhibited the least effects. Services rated as good or likeable, with brand names that sent a message and explained the service, and whose advertisements evoked useful and informative attitudes were the strongest loyalty indicators. Further insight is gained as tailored advertising strategies across industries with recognition for specific service types are recommended. A one-size standardized approach is not effective as service type is proven to have significant impact on brand loyalty. The model findings provide comprehensive support for prior recognition of service type and identified service advertisement antecedents which will then foster increased service brand loyalty.

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Idris, Fazli, and M. Muzamil Naqshbandi. "Exploring competitive priorities in the service sector: evidence from India." International Journal of Quality and Service Sciences 11, no. 2 (June 12, 2019): 167–86. http://dx.doi.org/10.1108/ijqss-02-2018-0021.

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Purpose The purpose of this study is to explain the components of competitive priorities of Indian service firms, to find out the competitive priorities of different service industries in India and to find out how these competitive priorities change across low- and high-performing service firms. Design/methodology/approach An empirical study of 166 firms from five different service industries is undertaken in New Delhi and its surroundings. Findings The results reveal the presence of three competitive priorities in the services sector in India: cost, flexibility and quality/delivery, with quality/delivery being the most distinctive competitive priority. Hotel and auto-repair industries are found to be focused on controlling costs, while hospitals, banks and private colleges prioritized quality/delivery. For high-performing firms, cost is the top most competitive priority, followed by quality/delivery and flexibility, while for low-performing firms, quality/delivery remains the top most competitive priority, followed by flexibility and cost. Originality/value The paper enhances the understanding of competitive priorities in the Indian services sector. The identification of competitive priorities of different service industries in India and their dynamics across different industries add value to the current literature and fill an important research gap. Additionally, surveying diverse industries in this paper reveals a holistic picture of the Indian service industry and helps achieve some degree of cross-industry perspective.

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Zhang, Mengling, Yuhan Zhang, Zhenling Weng, and Zhaojiu Chen. "Design and Service Effect Evaluation of Agricultural Social Service Platform Based on 5G and Cloud Computing." Wireless Communications and Mobile Computing 2022 (August 21, 2022): 1–11. http://dx.doi.org/10.1155/2022/4949242.

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With the continuous development of information technology, various industries continue to use information technology to promote industrial upgrading and optimize the industrial structure. Agricultural informatization, as the only way for future agricultural development, will become an inevitable direction for the rejuvenation of traditional industries. The proposal of the development concept of “Mass Entrepreneurship, Mass Innovation” marks that my country has gradually entered an innovative society, and the development of public services and service products will become a powerful guarantee for promoting the construction of the agricultural informatization industry chain. This paper starts from the application of cloud computing and 5G in agriculture, considers the impact of big data on agriculture, and combines the business requirements and functional requirements of agricultural social services. The design of agricultural socialization service platform is realized, and finally, the service effect of the platform is evaluated by neural network. The following is a summary of the work done in this paper: (1) The research background and significance of the development concept of agricultural informatization services are expounded. Finally, the research content and method of this paper are discussed. (2) The technical principle and optimization algorithm of BPNN are introduced, and the evaluation index of the service effect of agricultural information platform is designed. (3) Select the appropriate parameters to build the experimental model and then train it, then compare the experimental effects of the traditional BP algorithm and the optimized three algorithms, and comprehensively evaluate the LM-BP model with the best performance.

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Bergh, Dennis G. Von, Paul W. T. Ghijsen, Cees J. Gelderman, and Ronald S. J. Tuninga. "Waiting in multi-stage services: an exploration across service industries." International Journal of Business and Globalisation 14, no. 2 (2015): 187. http://dx.doi.org/10.1504/ijbg.2015.067435.

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Kumar, Niriender, Filzah Md Isa, Cheng Wei Hin, and Haim Hilman Abdullah. "Development of a framework for services recovery for service industries." J. for Global Business Advancement 5, no. 2 (2012): 89. http://dx.doi.org/10.1504/jgba.2012.049504.

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Xi, Wei, and Xiran Cheng. "The Difference of Capital Input and Productivity in Service Industries: Based on Four Stages Bootstrap-DEA Model." Journal of Systems Science and Information 6, no. 4 (September 26, 2018): 320–35. http://dx.doi.org/10.21078/jssi-2018-320-16.

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Abstract Based on the concept of productive capital stock, this paper estimated capital input by three asset types of China’s 36 service industries in 2003–2015, and compared with the results of wealth capital stock. This study found that the wealth capital stock method underestimates the actual capital input in each sector in varying degrees, and it may interference the accuracy of productivity evaluation in sectors. According to the new estimation results of capital input, this paper further applied four stages bootstrap-DEA method to estimate industrial productivity, and calculated its confidence intervals. This study found that, the years of education and the average wage have a significant positive impact on the productivity of service industries; the productive services have a short board effect in the whole service industry.

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Yee, Rachel W. Y., Peter K. C. Lee, Andy C. L. Yeung, and T. C. E. Cheng. "Employee learning in high-contact service industries." Management Decision 56, no. 4 (April 9, 2018): 793–807. http://dx.doi.org/10.1108/md-04-2017-0342.

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Purpose Employee learning is imperative in the dynamic service environment; yet, much is still unknown about its strategic importance. The purpose of this paper is to extend the understanding of learning by focusing on the strategic importance of learning goal orientation (LGO) in customer-contact employees in service industries characterized with high customer contact. Design/methodology/approach This paper adopts the multi-method approach by conducting two studies in the high-contact service sector. Study 1 is a large-scale, multiple-respondent survey that investigates the associations between LGO and its antecedents and performance outcomes. To supplement study 1, study 2 embraces case studies that identify the managerial supportive practices and outcomes of customer-contact employees’ learning behaviors. Findings The results of study 1 demonstrate that employees’ affective organizational commitment does not yield higher-quality services unless the service employees are learning oriented. The findings of study 1 also indicate that management commitment to service quality has positive effects on both LGO and affective organizational commitment. In study 2, the results reveal the practical methods that managers can employ to effectively promote such activities. Originality/value This research offers novel insights into research on learning by showing the strategic importance of LGO to enhancing high-contact service firms’ performance and the practical means of fostering LGO in customer-contact employees.

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