Academic literature on the topic 'Channel switching intentions'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Channel switching intentions.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Channel switching intentions"
1
Youn, Song-yi, Jung Eun Lee, and Jung Ha-Brookshire. "Fashion Consumers’ Channel Switching Behavior During the COVID-19: Protection Motivation Theory in the Extended Planned Behavior Framework." Clothing and Textiles Research Journal 39, no. 2 (January 28, 2021): 139–56. http://dx.doi.org/10.1177/0887302x20986521.
Full textAbstract:
The purpose of this study is to understand fashion consumers’ channel switching to online stores during the COVID-19. We proposed an extended theory of planned behavior by incorporating protection motivation theory. The results showed that consumer assessments of perceived severity and altruistic fear of COVID-19 and response efficacy and self-efficacy of channel switching increased their beliefs (i.e., attitude, perceived behavior control, subjective norm) and intentions to switch shopping channels to online. We also found that the age (young vs. old) moderated the effects of response efficacy and self-efficacy on perceived behavior control, perceived severity on subjective norm, perceived behavior control on channel switching intentions, and channel switching intention on actual switching behavior. The findings provide fashion retailers and the society with a better understanding about fashion consumers’ shopping channel switching under the pandemic.
2
Cambra-Fierro, Jesús, Iguácel Melero-Polo, Lia Patrício, and F. Javier Sese. "Channel Habits and the Development of Successful Customer-Firm Relationships in Services." Journal of Service Research 23, no. 4 (April 6, 2020): 456–75. http://dx.doi.org/10.1177/1094670520916791.
Full textAbstract:
Technology advances have profoundly changed the way customers and service organizations interact, leading to a multitude of service channels. This study investigates consumer habits toward service channels in order to understand the influence of these channel habits on perceptions and intentions (perceived switching costs and attitudinal loyalty) and on consumer behavior (service usage and cross-buy). We empirically test the framework in the financial services industry, and the results reveal that physical store habit increases perceived switching costs and that acquired habits toward the physical store and self-service kiosks have a positive influence on attitudinal loyalty. Perceived switching costs positively affect service usage, and attitudinal loyalty positively influences cross-buy. In addition, habits in each channel lead to an increase in the number of services acquired (cross-buy), but online and self-service kiosks channel habits negatively impact service usage, as the lack of physical presence may increase customer uncertainty. Because habits are built on the frequency and stability of channel usage, firms can manage habits by encouraging frequent interactions under stable contexts. In addition, firms should stimulate customer habits toward the physical store as it is central to the promotion of loyalty and for increasing service usage.
3
Jeon, So Young, and Hanjoo Yoo. "A Study on the Effects of Switching Barriers to Non-facing Channel on Switching Intentions in Car Insurance." Journal of Korea Service Management Society 21, no. 3 (September 30, 2020): 277–300. http://dx.doi.org/10.15706/jksms.2020.21.3.013.
Full text
4
Singh, Jaywant, and Benedetta Crisafulli. "Managing online service recovery: procedures, justice and customer satisfaction." Journal of Service Theory and Practice 26, no. 6 (November 14, 2016): 764–87. http://dx.doi.org/10.1108/jstp-01-2015-0013.
Full textAbstract:
Purpose The internet has changed the way services are delivered and has created new forms of customer-firm interactions. Whilst online service failures remain inevitable, the internet offers opportunities for delivering efficient service recovery through the online channel. Notwithstanding, research evidence on how firms can deliver online service recovery remains scarce. The purpose of this paper is to investigate the impact of two online service recovery strategies – online information and technology-mediated communication – on customer satisfaction, switching and word of mouth intentions. Design/methodology/approach A scenario-based experiment is employed. Data are analysed using partial least squares structural equation modelling. Findings Online information and technology-mediated interactions can be used as online service recovery strategies. When fair, online service recovery can restore customer satisfaction, lower switching and enhance positive word of mouth. Interactional justice delivered through technology-mediated communication is a strong predictor of satisfaction with online service recovery. Yet, customers in subscription services show greater expectations of online service recovery than those in non-subscription services. Research limitations/implications Further research could examine the impact of online service recovery on relational constructs, such as trust. Since customers participate in the online recovery process, future research could investigate the role of customers as co-creators of online service recovery. Practical implications Service managers should design online recovery strategies that meet customer need for interactional justice, for example, bespoke e-mails, and virtual chat communications with genuine customer care. Originality/value Online information and technology-mediated communication function as online service recovery strategies. Customer perceptions of justice towards online service recovery restore satisfaction, and encourage loyal behaviour.
5
Maggioni, Isabella, Sean James Sands, Carla Renee Ferraro, Jason Ian Pallant, Jessica Leigh Pallant, Lois Shedd, and Dewi Tojib. "Consumer cross-channel behaviour: is it always planned?" International Journal of Retail & Distribution Management 48, no. 12 (August 5, 2020): 1357–75. http://dx.doi.org/10.1108/ijrdm-03-2020-0103.
Full textAbstract:
PurposeFor consumers, cross-channel behaviour is increasingly prevalent. Such behaviour involves consumers actively engaging in (and deriving benefit) from one channel during a product search but switching to another channel when making a purchase. Drawing on multi-attribute utility theory, this study proposes a cross-channel behaviour typology consisting of three key aspects: channel choice behaviour, functional and economic outcomes and consumer-specific psychographic and demographic variables.Design/methodology/approachSegmentation analysis conducted via latent class analysis (LCA) was performed on a sample of 400 US consumers collected via an online survey.FindingsCross-channel behaviour is not always intentional. We identify a specific segment of consumers that most often engage in unplanned, rather than intentional, cross-channel switching. We find that of all shoppers that engage in cross-channel behaviour, a fifth (20%) are forced to switch channels at the point of purchase.Practical implicationsCross-channel behaviour can be mitigated by retailers via a deep understanding of the driving factors of different configurations of showrooming and webrooming.Originality/valueIn contrast with existing conceptualisations, this study suggests that cross-channel behaviour often stems from consumers being “forced” by factors outside of their control, but within the retailers' control. This research presents a nuanced approach to decompose consumer cross-channel behaviour from the consumer perspective as planned, forced or opportunistic.
6
Sombultawee, Kedwadee. "Mobile Commerce Switching Intentions in Thai Consumers." Mediterranean Journal of Social Sciences 8, no. 6 (November 27, 2017): 123–34. http://dx.doi.org/10.1515/mjss-2017-0049.
Full textAbstract:
AbstractThis research applies an extended Unified Theory of Adoption and Use of Technology (UTAUT) model to consumer intentions to switch from other retail channels to mobile commerce in Thailand. Mobile commerce is a rapidly growing segment of the consumer market, but remains in an early stage of adoption in many markets. A survey of Thai consumers (n = 458) was conducted online and analyzed using a structural equation modeling (SEM) approach. Findings showed that the extended UTAUT model, which included online social support and convenience, significantly explained the consumer decision to engage in mobile commerce. However, direct incentives (discounts and referral codes) were not significant. The implication of these findings is that mobile commerce providers need to focus on building social support for the technology itself, rather than relying on marketing tools like discounts or referral codes if they want to shift sales away from other retail channels.
7
Shankar, Amit, Rambalak Yadav, Manish Gupta, and Charles Jebarajakirthy. "How Does Online Engagement Drive Consumers' Webrooming Intention?" Journal of Global Information Management 29, no. 6 (November 2021): 1–25. http://dx.doi.org/10.4018/jgim.20211101.oa19.
Full textAbstract:
Based on the cognitive-motivational-relational (CMR) theory, this study empirically investigates the mechanisms through which consumers' online engagement impacts their channel switching intention. The present study examines the mediating effects of perceived value and the ways in which these mediating effects are moderated by online risk perception. Data were collected from 428 online Indian consumers using systematic random sampling. The results of the structural and process macro analyses indicated that consumer online engagement has a significant impact on consumer online search benefits which in turn leads to webrooming intention. Also, perceived value mediated the effects of online search benefits and offline purchase benefits on webrooming intention. The results advance the theory of CMR by explaining consumer channel switching behaviour and are expected to help multi-channel retailers to identify the key drivers that help engage consumers online.
8
Shankar, Amit. "How does convenience drive consumers' webrooming intention?" International Journal of Bank Marketing 39, no. 2 (January 14, 2021): 312–36. http://dx.doi.org/10.1108/ijbm-03-2020-0143.
Full textAbstract:
PurposeThe aim of this study is to evaluate the impact of convenience on banking consumers' webrooming intention. To fulfil this objective, this study empirically investigates how convenience impacts consumers' webrooming intention, using a comprehensive moderated–mediation framework. The study investigates the mediating effects of perceived hedonic values and perceived utilitarian values and how these mediating effects are moderated by consumers' perceived security concerns.Design/methodology/approachData were collected using a questionnaire-based offline survey from 534 banking users in India, using systematic sampling. The covariance-based structural equation modelling and PROCESS macro were used to examine the hypotheses.FindingsThe results indicated that access convenience, search convenience, benefit convenience and post-benefit convenience have a crucial impact on consumers' webrooming intention. The perceived hedonic values and perceived utilitarian values mediate the effects of convenience dimensions on webrooming intention, and mediation effects varied between high and low levels of consumers' perceived security concern.Research limitations/implicationsThis study was conducted in India using cross-sectional data. The proposed model can be replicated in other countries using longitudinal data for generalising the findings.Practical implicationsThe study's findings will help banks identify how to enhance convenience to manage channel-switching behaviour.Originality/value“Webrooming”, a key channel-switching concern in a multichannel banking context is investigated by examining the impact of convenience dimensions.
9
Tussa'diah, Halimah, Eka Anggaini, and Selamat Husni Hasibuan. "CODE SWITCHING UTTERANCES OF PUBLIC FIGURES’ VLOG IN YOUTUBE CHANNEL." PROJECT (Professional Journal of English Education) 4, no. 3 (May 11, 2021): 513. http://dx.doi.org/10.22460/project.v4i3.p513-520.
Full textAbstract:
This research dealt with the analysis of Code-Switching Utterances of Public Figures’ Vlog In YouTube Channel. The objectives were to determine code-switching and the types of code-switching used by the public figures and the guests. The researcher focused on the application of Intra- sentential (74 cases), Inter-sentential (85 cases) and Extra/Tag code-switching (26 cases). A descriptive qualitative method was taken to analyze the data from four videos on YouTube published in March 2019 until November 2019. The finding showed that public figures and the guests used code-switching, which included 185 cases. There were seven reasons of public figures switched the language; 75 data of talking about a particular topic, 2 data of quoting somebody else, 1 data of being emphatic about something, 13 data of interjection (inserting sentence filler or sentence connector), 27 data of repetition of clarification, 63 data of intention for clarifying the speech content for the interlocutor, and 4 data of expressing group identity.
10
Kim, Do Yeon, and Ho Jung Choo. "The Effects of Department Store Customers' Satisfaction and Commitment on Relationship Switching Intention and Multi-channel Use Intention." Fashion & Textile Research Journal 15, no. 5 (October 31, 2013): 753–62. http://dx.doi.org/10.5805/sfti.2013.15.5.753.
Full textDissertations / Theses on the topic "Channel switching intentions"
1
Radaciova, Romana, and Alexandra Klacanova. "To try on or send back? Shopping in post-pandemic times : Exploratory study of pandemic effects on consumer behaviour." Thesis, Umeå universitet, Företagsekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-184366.
Full textAbstract:
As the pandemic of COVID-19 is still affecting peoples’ lives in various ways, it is not surprising that it affects consumer behaviour as well. This paper focuses on the changes in consumer behaviour, more specifically on the changes in consumer shopping channel preferences due to the pandemic. Furthermore, it was of interest whether these changes are likely to be long-term, and influence consumer shopping behaviour in the corona-free future. To answer the research question: “How did the pandemic affect consumers’ preferred shopping channels, and are those changes long-term?” a qualitative study was conducted. The study consisted of ten interviews, five of which were with consumers who spent most of the pandemic in Sweden, and five with respondents who spent most of the pandemic in Slovakia. This way, the study compares the responses and thus changes in consumer shopping behaviour and channel preferences of consumers who have experienced different levels of restrictions and recommendations as a response to the pandemic. Indeed, Slovakia’s response to the corona pandemic was much more severe and included much more, longer-lasting, restrictions affecting/restricting consumer shopping. The study showed that despite the countries adopting very different responses to the pandemic, the consumers changed their shopping behaviour in a rather similar way. Most of the respondents stated that they started shopping less due to the pandemic and that they shopped more online. The main reasons for these developments were (1) reduced need for new clothing during the corona pandemic, (2) stores being closed, and/or (3) consumers trying to reduce their contact with others and keep their distance. However, when asked whether these changes in their behaviour are going to persist into the far future, the responses differed. A portion of respondents stated they will continue to shop online more than prior to the pandemic, while still shopping in traditional, offline, stores as well. Some other respondents, however, stated that they will return to in-store shopping as soon as possible. From these findings, it is clear that shopping for clothes via offline channels will still be important and preferred by many, despite the rise of technologies and online shopping possibilities. The study contributes to the literature on the corona pandemic and its effects on consumer behaviour, the field of consumer behaviour in general, consumer shopping channel preferences, channel switching intentions, omnichannel literature, and the online shopping literature.
2
Rong, Zeng Ying, and 曾盈蓉. "A Study on Customers’ Switching Intention between Virtual Channels." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/87022223729727138929.
Full textAbstract:
碩士國立勤益科技大學
流通管理系
101
According to the data from the Department of Statistics, Ministry of Economic Affairs in Taiwan, the total revenue from non-store retailing had broken through 181 billion and 800 million NT dollars in 2012. Trendgo Research investigated what the customers of online shopping, online auction, TV shopping, radio shopping, mail order and direct selling in the first half of 2010, the online shopping was the most popular non-store retailing in Taiwan; 13.9% of Taiwan’s population, about 2.78 million persons, had experience of online shopping and the others included 7.0% of TV shopping, 5.5% of online auction and 5.1% of direct selling. This study, uses PPM model, is designed to discuss the factors that interfering the TV shopping model to shift to e-commerce based shopping.All descriptive statistical analyses, reliability and validity, hypothesis testing, path coefficients and T values were accomplished using SPSS software, version19.0 and PLS software, version 2.0.The results showed the risks from TV shopping, including financial risk、social risk 、product risk 、time risk, produced a push effect that make customers to quit TV shopping. On the other hand, the plenty of information, the service, the quality and the delivery system of online shopping generated a pull effect that significantly attracted the client to use online shopping. However, the service of TV shopping also had a mooring effect that interfere the customer's intention to switch their shopping habit. The final analysis of the push - pull - mooring effect on the switching intension revealed that the test of pull effect (β = -0.601, t = 16.132) supported the hypothesis 2,which meant the advantages of online shopping did attract the people to use it , while the test of push and mooring effects showed no significant result. However, when the mooring effect was seen as a moderator variable , the push effect became significant (β = -0.089, t = 2.123) that made hypothesis 4 true, which meant despite of the disadvantages, the advantages of TV shopping could also reduce the customers' intention for online shopping. The conclusion can contribute to a managerial implications and suggestions applied in the future.
3
Ching-Fu, Huang, and 黃清福. "The study of consumers' switching intention between online and offline channel ─ An Example of The Convenience Goods." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/7gnbsm.
Full textAbstract:
碩士中國文化大學
企業實務管理數位學習碩士在職專班
103
With the rapid development of e-commerce, network speed, the technologies of web page and Internet payment are advancing with the times, the popularity of smart phones has raised e-commerce to mobile commerce, it is paid more attention on the impact of the Internet shop, such as the choices of consumer made between physical store and internet store, and how it convert between those two kind of stores. It forced the vendor to face the impaction. Therefore, this study is to explore the consumer switching his intention between online and offline channel by vendor to provide commodity promotion, to buy convenience goods as the scope of the investigation. This study used a structured questionnaire, with keypal as the sampling target, divided into 2 group of questionnaire that internet shop with or without providing merchandise promotion, total recovery of 255 buy convenience goods in a physical channel. This study investigated the relationship of merchandise promotion that interfere with consumer perception sacrifice, store loyalty, perceived convenience and converted intention. The results showed that merchandise promotion to perception sacrifice have significant interference, and couldn’t prove the existence of interference effects to the remaining variables.
4
Sae-Lao, Salisa, and 劉秋梅. "The relationship among consumer intention and consumer behavior in channel switching from the physical store to virtual store." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/67126137754790917166.
Full textAbstract:
碩士南台科技大學
企業管理系
97
ABSTRACT Keywords: Theory of Planned Behavior, Trust, Switching cost, The intention to switch, Behavior. Since the Internet was made available for commercial use, Taiwan is the well known country for the Business-to-Consumer electronic commerce. Nowadays, Taiwanese consumers are now entering a new era which the consumers can shop through virtual store on World-Wide-Web (WWW) 24 hours with various market sectors of goods and services. In this paper, the main objective of this research is to investigate the impact of the Theory of Planned Behavior (TPB) and moderating factors – trust and switching cost which might take significantly influence on the intention to switch and the behavior in channel switching from the physical store to virtual store. Moreover, to identify the relationship among transfer consumer’s intention and transfer consumer’s behavior in channel switching from the physical store to virtual store. The research setting was in Tainan, Taiwan. The data was collected through 200 survey questionnaires. Statistical analysis included descriptive statistics, Factor analysis, R2, and the Structural Equation Modelling (SEM) techniques. The result support that Theory of Planned Behavior (TPB) which consist of attitude toward behavior, subjective norms and perceived behavior control and the physical store-trust can explain the intention to switch in positive way. However another variable- switching cost explains the intention to switch in negative way. Finally, consumer’s intention has the relationship with consumer’s behavior.
5
Yang, Jhong-Min, and 楊忠民. "The Customers’ Switching Intention between Bricks-and-Mortar Channel and 7net Click-and-Mortar Store: The Perspective of Push-Pull-Mooring Model of Human Geography." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/51697018983661838816.
Full textAbstract:
碩士國立勤益科技大學
流通管理系
100
With the growth of the Internet population and the maturing of online shopping environment, the online channel has become the next new energy leads to the growth of retail business. Whether the space constraints or market size, Convenience stores are limited in the development of entity store and sales growth. “The 7net Click-and-Mortar Store” developed based on the concept of “cloud supermarket” is the major strategy leading to initiate new growth. The PPM, a theoretical framework of population migration, is applied in this research to study the customers’ intention between Bricks-and-Mortar Channel and 7net Click-and-Mortar Store. We attempt to clarify the relationship between push-pull-mooring effects and switching intention, and examine the moderating effect by useing the moderator variable--mooring effects, pull effects and retail channel formats. In this study, 353 examples were obtained by conducted a field survey and found that: First, “push effect”, “pull effect” and “mooring effect” were produced by the poor performance of service, convenience and store image of the Bricks-and-Mortar channels, and the perceptions of lower price, lower search effort, and perceived product variety from 7net Click-and-Mortar Store and The perceived risk of online shopping, technology anxiety, relationship quality with physical channel. Second, only pull effects have a significant effect between the push-pull-mooring effects and switching intention. Third, through PPM model indicate that customers from different formate retail channel presented a consistency of results. Fourth, mooring effects for the moderator variables do not have a significant interaction effect with both the pull effect and push effects. Fifth, when pull effects as moderator variable to test interaction effects, the pull effect have significant interaction effect with both push effects and mooring. Finally, management and academic implications and recommendations are discussed at the end.
Book chapters on the topic "Channel switching intentions"
1
Kessenbrock, Andreas, and Sören Köcher. "Information Search at the Point of Sale: How Information Source Influences Customers’ Purchase Channel Switching Intention: An Abstract." In Back to the Future: Using Marketing Basics to Provide Customer Value, 407–8. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66023-3_141.
Full text
2
Tenenbaum, Sergio. "Persisting Intentions." In Rational Powers in Action, 143–67. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198851486.003.0006.
Full textAbstract:
Chapter 6 continues the discussion of putative requirements generated by future-directed intentions, turning to what I call “intention-persistence requirements”. These requirements seem particularly important in understanding choice among incommensurable or incomparable alternatives. In such choice situations, it seems irrational to engage in “brute shuffling”; that is, intending first to choose one option, then (possibly) incurring certain costs associated with bringing about this option, and then, in the absence of any new information or any reason to change one’s mind, switching to choose another, incomparable, option. However, unless we accept intention-persistence requirements, it might seem that we cannot explain why such behaviour is irrational. The chapter argues against the validity of such persistence requirements and proposes a different understanding of choices in these contexts. In particular, the chapter argues that only certain patterns of shuffling are irrational, and the irrationality of these patterns can be given a more direct and satisfying explanation without appeal to intention-persistence requirements.