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.

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.

6

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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7

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.

8

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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9

&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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10

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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11

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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12

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.

13

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>

14

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.

15

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.

16

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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17

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.

18

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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19

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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20

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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21

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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22

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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23

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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24

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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25

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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26

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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27

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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28

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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29

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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30

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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31

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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32

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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33

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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34

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.

35

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.

36

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.

37

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.

38

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.

39

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.

40

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.

41

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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42

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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43

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.

44

Lee, In. "Service Robots: A Systematic Literature Review." Electronics 10, no. 21 (October 30, 2021): 2658. http://dx.doi.org/10.3390/electronics10212658.

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A service robot performs various professional services and domestic/personal services useful for organizations and humans in many application domains. Currently, the service robot industry is growing rapidly along with the technological advances of the Fourth Industrial Revolution. In light of the great interest and potential of service robots, this study conducts a systematic review of the past and current research in service robots. This study examines the development activities for service robots across applications and industries and categorizes the service robots into four types. The categorization provides us with insights into the unique research activities and practices in each category of service robots. Then, this study analyzes the technological foundation that applies to all four categories of service robots. Finally, this study discusses opportunities and challenges that are understudied but potentially important for the future research of service robots.

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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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ERJAVEC, Hana Šuster, Tanja DMITROVIĆ, and Petra POVALEJ BRŽAN. "DRIVERS OF CUSTOMER SATISFACTION AND LOYALTY IN SERVICE INDUSTRIES." Journal of Business Economics and Management 17, no. 5 (October 27, 2016): 810–23. http://dx.doi.org/10.3846/16111699.2013.860614.

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The relationship between customer satisfaction, customer loyalty and their antecedents, service output quality, quality of staff, corporate image, and price perception, is examined in the context of three service industries: use of the highway infrastructure, mobile telephone services, and hairdressing services. The research model was empirically evaluated for a large sample of respondents from a Central European country, using structural equation modelling. The results indicate that the four antecedents affect customer loyalty, and customer satisfaction acts as a mediator in all three service industries. However, the strength of the relationship between the constructs varies markedly across the industries, implying that competitive environment importantly determines the elements of service offering that lead to satisfaction and loyalty in a particular industry. The research findings contribute to a better understanding of which behavioural mechanisms and factors are a viable basis for increasing customer retention in a specific market structure. Managerial implications are discussed, and policy recommendations are offered.

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Löfberg, Nina, and Maria Åkesson. "Creating a service platform – how to co-create value in a remote service context." Journal of Business & Industrial Marketing 33, no. 6 (July 2, 2018): 768–80. http://dx.doi.org/10.1108/jbim-10-2015-0202.

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Purpose The purpose of this paper is to further develop the construct of service platform and to clarify the definition of service platform in an industrial context. To do so, an understanding of the foundations for service platforms, based on a service perspective, is created. Design/methodology/approach The study has adopted a qualitative case study approach and builds on in-depth interviews with remote service teams in two multinational firms: one in the food processing and packaging industry and the other in the pulp and paper industry. Findings The foundations for successful service platforms consist of modularising resources, integrations and service processes to create value propositions. The value propositions could result in variations of a service or in variations of different services. When defining the concept service platform, the perspective of service needs to be made evident; therefore, the authors define service platform as: value proposition(s) consisting of a modular structure that invites to and facilitates value co-creation between resources, through integration opportunities in a continuous service process. Research limitations/implications The results are based on the perspective of two suppliers in similar industries; only remote services were studied. Firms from different types of industries and other types of services could add to the research on service modularity according to a service perspective. Moreover, information about customers and other actors’ involvement on the platform was gathered from the firms studied, no customers or other actors were interviewed. Practical implications This study shows the importance of a firm involving itself in the value creation of the customer, that is, focusing on value co-creation. This implies a close cooperation between the manufacturer and its customer – not only at a given point in time but also over a longer period of cooperation. Through the different types of modules building up the service platform, value co-creation can take place in various ways. Originality/value This study offers original empirical contributions on platforms from a service perspective. The study contributes to servitisation, service modularity and service (dominant) logic research by developing an understanding of the foundations for service platforms based on a service perspective. It also contributes to platform research more specifically by developing a definition of service platform in an industrial context.

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Segarra-Oña, María del Val, and Ángel Peiro-Signes. "Eco-innovation determinants in service industries." Dirección y Organización, no. 51 (December 1, 2013): 5–16. http://dx.doi.org/10.37610/dyo.v0i50.427.

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The objective of this paper is to determine, empirically, the determinants of service firms’ environmental orientation (firm environmental responsiveness and environmental performance) while innovating. We analyze 3013 Spanish service firms using multivariate analysis with data retrieved from PITEC Database (Spanish Technological Panel). Results show that environmentally oriented service firms are characterized by product and process orientation. Furthermore, results show that service eco-oriented firms are those that have been more innovative and that rely more on market information sources for the innovation process.Keywords: eco-innovation drivers, PITEC, Spanish service industry.Determinantes de la eco-innovacion en el sector serviciosResumen: El objetivo de este trabajo es determinar, empíricamente, los determinantes de la orientación medioambiental de las empresas de servicios (responsabilidad medioambiental de las empresas y comportamiento medioambiental) cuando innovan. Hemos analizado 3013 empresas de servicios españolas mediante análisis multivariante con datos obtenidos de la base de datos de PITEC (Panel de innovación tecnológica). Los resultados muestran que las empresas de servicios medioambientalmente orientadas se caracterizan por la orientación hacia productos y procesos. Además, los resultados muestran que las empresas de servicios eco-orientadas son aquellas que han sido más innovadoras y que se basan en fuentes de información de mercado cuando innovan.Palabras clave: sector servicios, facilitadores de la eco-innovación, PITEC, eco-innovación.

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Marshall, J. Neil, and P. W. Daniels. "Service Industries in the World Economy." Geographical Journal 162, no. 2 (July 1996): 229. http://dx.doi.org/10.2307/3059896.

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Halili, Dr Festim, Elida /. Blakaj-Gashi,Msc, and Selvije Blakaj MSc,. "Service-Oriented Architecture In Automation Industries." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 19 (June 5, 2019): 7493–501. http://dx.doi.org/10.24297/ijct.v19i0.8290.

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This paper addresses issues and difficulties in the advancement of cutting edge installed gadgets, applications and its administration that Service-Oriented Architecture (SOA) handles in Automation Industries (AI).Because of SOAs expanding knowledge and traces of the methodology received, just as the business points of interest advancement, the assembling business with SOA expresses deep complexity and yet simple usage in process of automation. The future assembling undertakings will be portrayed by as often as possible changing business sector requests, time-to-showcase weight, constantly developing new advances and, most importantly, worldwide challenge. SOA and web innovation have evolved its route to support an unavoidably arranged world in which billions of individuals and trillions of devices and gadgets will be interconnected in different ways. As a component of this development, Internet innovation is rising as the essential bearer for interconnecting – utilized in mechanical mechanization, car hardware, building controls, home robotization, service automation, and so on.

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