Search results

Despite retail digitisation and research efforts focussed on online and omnichannel shopping, there is insufficient knowledge regarding retail patronage formation in the grocery category, where in-store sales dominate. This study analyses the retail patronage formation in grocery in-store fill-in shopping.

The authors designed a questionnaire to measure retail patronage behaviour, consumer satisfaction (CS), store attributes evaluation and e-retail usage. Then, the authors analysed the path structure for retail patronage behaviour formation using structural equation modelling. Additionally, they performed a mediation analysis using the bootstrap method and a moderation analysis based on a chi-square difference test.

This study provides three main findings. First, the authors' model has two ways to increase Share-of-Wallet (SOW). One is to increase Share-of-Visits (SOV) and another is to increase CS amongst non-users of e-retailing. Second, the results of the moderation analysis suggest the influence of customers' use or non-use of e-retailing on SOW formation. Third, service evaluation plays an interesting role in the overall model: the lower the assessment of service, the higher the SOV; the higher the evaluation of service, the greater the CS; the greater the CS, the higher the SOV.

The authors proposed the framework for the relative retail patronage formation in grocery fill-in shopping to examine the relationship between two relative patronage indicators (SOW and SOV) in the path structure and the mediating effect of CS and the moderating effect of e-retailing usage on retail patronage formation.

This paper aims to explore consumer perceptions of Internet‐based e‐retailing in a highly concentrated retail market environment.

The present research incorporates market and social factors to examine consumer attitude and behavioral intention to use internet‐based e‐retailing based on the survey data collected from individuals in Hong Kong.

The empirical results suggest that perceived usefulness and perceived ease of use have positive impact on consumer attitude towards e‐retail business. The easily accessible local retail market and the concern about risk in the virtual environment significantly affect consumer attitude and behavioral intention to use e‐retailing. However, consumers may consider using e‐retailing if they are influenced by particular social groups.

Future research can be carried out along similar contextual dimensions to explore consumer behavior and critical success factors of e‐retail business in different geographical environments and social contexts.

The present findings have theoretical and practical implications for managing and developing e‐retail business.

The purpose of this article is to provide an insight into the determinants of customers' internet banking (IB) acceptance. Therefore, it attempts to address a research need for extending the technology acceptance model (TAM) by adding contextual factors for IB case.

A research model reflecting the effects of perceived risk (PR), perceived playfulness (PPL) and perceived behavioral control (PBC) on TAM constructs is proposed. The partial least squares (PLS) procedure is used to analyze 161 cases collected from individual IB users through a web‐based survey.

The results indicate that perceived usefulness (PU) and perceived ease of use (PEOU) are immediate direct determinants of customers' attitudes towards using IB (ATT). PU, PR and ATT determine the large proportion of behavioral intentions to use IB (BI). Although PPL positively influences only PEOU, PBC exerts positive direct effects on PEOU and PU and indirect effects on PU and ATT.

The study findings were obtained from the single snapshot research, the small data set covering only active e‐mail users and the participants' self‐reports about BI. Therefore, the future research should carry a longitudinal nature to show the temporal change effects, remedy the possibility of self‐selection bias with a broader research sample and validate the IB usage externally instead of self‐reported BI.

This study supplies the valuable information for researchers and practitioners about the effects of PR, PPL and PBC on IB adaptation behavior of Turkish customers. Furthermore, the study reveals that extended TAM could be used to provide a solid theoretical foundation of IB acceptance case.

This paper analyzes the advance selling and pricing strategies of fresh products supply chain where the e-retailer provides wholesale contract or agency contract to the fresh products supplier.

This paper constructed a two-period sequential-move game of fresh products supply chain members.

This analysis showed that the supply chain members had different preferences for contracts under different market conditions. The advance selling of fresh products was not a decision of the seller, but also required the support of other supply chain members. And the advance selling strategy was not always beneficial to all supply chain parties. Under the two contracts, there were market conditions in which the profits of supply chain members were Pareto-improved through the implementation of advance selling.

The model presented in this study focuses solely on the context of monopoly, overlooking the competition from alternative suppliers or retailers. Consequently, exploring the competitive landscape within the fresh products supply chain, particularly in relation to pre-sale pricing, emerges as a crucial avenue for further investigation. By employing empirical research methods, valuable insights are gleaned, thereby significantly augmenting the existing body of relevant theories.

The decision to pre-sell fresh products should be based on market conditions. Supply chain members can control production costs and fresh products circulation losses to maximize profits.

From the perspective of game theory, this study analyzed the optimal advance selling and pricing strategies of fresh products supply chain members under two kinds of contracts. These results can provide practical implications for fresh products suppliers and e-retailers.

An omni-channel is a retailing strategy that the behavior of companies adopts many retail channel types to combine and integrate cross-channel sales to meet the comprehensive needs of customers in shopping, entertainment and social networking both online and offline. This leads to several research questions of retailing omni-channel in this study. First, do channel brand trust (CBT) and store image (SI) affect re-patronage intentions through customer satisfaction (CS)? Second, regarding online rating (OR) and online involvement (OI), will CS be determined by consumer perception as well as the relevance of those attributes to the customer's re-patronage intentions? Third, do OR and OI have a role in exploring the moderating effect in the research model? Fourth, if there are positive effects from this relationship, it can generate a positive power return online. In addition, online-to-offline moves on a path for case firm omni-channel with customers' OR and OI with a reciprocal positive influence.

This study aims to investigate the relationship between CBT, SI, CS and re-patronize intention in an omni-channel. By using structural equation models (SEMs), this study aims to investigate offline-to-online and online-to-offline re-patronizing in the Taiwan Chunghwa Telecom (CHT) omni-channel (N = 1,642). Two moderated mediation models are investigated in this study.

This study first found that CBT and CS use SI to influence re-patronize intention in the omni-channel. SI plays a mediating role in this process; OR and OI influence the relationships of CBT, CS and re-patronize intention with two moderating roles.

This study first found that there is a reciprocal way with two paths in an omni-channel, starting with offline-to-online, in terms of confirming the relationship of CBT, CS and re-patronize intention in an omni-channel. There are positive effects from this relationship, and it can generate a positive power return online. In addition, we found that online-to-offline moves on a path that has a stronger influence of re-patronize intention for omni-channel with customers' OR and OI.

The purpose of this paper is to review the literature on customer relationship management (CRM) to obtain a comprehensive framework of mutually exclusive CRM research areas and sub‐areas free of all potentially disruptive factors (plethora of CRM definitions, personal judgments, etc.).

The keywords reported in 396 CRM articles published during the period 2000‐2006 are used to uncover first a great number of detailed keyword sub‐groups and, by subject summation, the CRM‐related research areas. This classification scheme is considered unbiased, in contrast with any direct classification of articles alone among CRM research areas fixed in advance.

An up‐to‐date conceptual and functional CRM framework emerges, consisting of a total of nine distinct research areas having their own weights, importance and popularity among the research community. Newly emerging CRM research areas are self‐identified as attracting the interest of the researchers and managers.

Keywords are activated, for a first time, as an added value characteristic reflecting genuinely the authors' beliefs about the subject content fields of their articles, important enough to reveal a self‐supported and self‐weighted unbiased and exhaustive CRM framework, useful to researchers and marketing practitioners. The paper offers strong evidence that e‐CRM is too complex to be comprehensively classified by mere procedures and simple criteria alone.

The purpose of this paper is to present a systematic overview of the current state of research on innovations in financial services and identifies the areas that have received less attention, and hence offer opportunities for future research.

An extensive search identified 121 research papers that have studied innovations in financial services from January 1990 to March 2015. A thorough content analysis objectively organized and coded the studies based on various aspects including publication year, focus of study, methodology, unit of analysis, sample, data analysis method, and geographical region. Analysis of the resulting data presents an overview of the research and identifies areas for future research.

The findings indicate that research on innovations in financial services is diverse and has explored various topics. The findings summarize the research papers with regards to each of the aforementioned aspects and offer researchers directions for future research.

The sample size of 121 articles is an adequate sample size for the purpose of the study and it is in line with similar studies on innovations in other areas. However, future research can expand the study to include more academic journals in addition to reviewing and synthesizing the qualitative aspects of studies and meta-analysis of the identified relationships.

The study is the first to present a holistic overview of the current state of research on innovations in financial services. The findings offer clear directions to researchers for future research and hence can be used to promote research in these areas.

This paper aims to investigate what drives the decision of small non-food store retailers to develop a relationship with the bank financing them. The analysis addresses the banking industry and quantifies the extent to which a decision to develop a relationship is influenced by satisfaction, trust and by two different kinds of values, namely, monadic and dyadic.

The analysis is based on data collected from more than 400 small business by means of a questionnaire, and develops a structural equation model to estimate the impact of satisfaction, trust and value constructs on the intention to develop the relationship.

The results show that satisfaction and trust do not exert a direct effect on the decision to develop the relationship that is directly determined by dyadic value (i.e. the comparison between the cumulated value given through time and the cumulated efforts sustained by the partner). In turn, dyadic value stems from monadic value (i.e. the self-centred comparison of the costs and benefits experienced within the relationship). In a nutshell, considering value perceptions by the business partner and the relational dimension of value provides a better understanding of the intention of small firms to develop their relationship with a financing bank.

This study contributes to shaping a picture of the motivations that lead small firms to develop a relationship with their financing bank. Drawing from a heterogeneous literature and considering individual-level variables, a theoretical model is developed to include the relational dimension of value and value perceptions by the business partner in the relationship. The empirical analysis provides useful indications to practitioners to understand and effectively manage the partner’s decision to develop the relationship, suggesting where to intervene.

The purpose of this paper is to investigate the role of Web 2.0 and social media in relationship marketing (RM) in banking. The aim is to understand why some banks resist the Web 2.0 trend, how this is aligned with their RM approaches and what the alternative paths for advancing customer relations could be. The paper focuses on the practices of banks in the less‐researched yet dynamically evolving South East European (SEE) region.

A qualitative case study approach was employed for this study. In total, three case studies were constructed, describing practices and RM approaches of retail banks in SEE. Data used for the construct of case studies were collected through in‐depth interviews with top management, documentation and banks’ official web sites.

Primary reasons for refraining from social media included: low customer demand for such form of interaction with banks; concerns over safety of Web 2.0 for banking; and lack of alignment with current RM strategies. While social media were not discarded for the future, they were deemed more appropriate for smaller or younger banks seeking innovative ways to capture market share.

The paper identifies requirements for the adoption of social media in bank marketing and offers insights on possible alternative RM strategies that combine electronic channels with a personal approach to banking.

Case studies offer insights on marketing practices of banks in the SEE region. The paper unveils challenges banks encounter in their RM efforts and their vision of the future of RM in a contemporary online setting.

Technology has been witnessing a rapid growth. The advent of artificial intelligence has further enhanced the satisfaction level of consumers, which makes it even more vital in the current scenario. This paper aims to explore the factors affecting practical implacability of artificial intelligence and its impact on consumers’ online purchase intention.

This paper has used a technology-based model as the base to explore the different factors affecting consumers’ purchase intention towards e-retailing. This study has formulated a model that demonstrates the integration of artificial intelligence in retailing by the business organizations so as to understand the needs of customers and help them accept technology. This study has further explored faith, subjective norms and consciousness as constructs which enhance the implacability of artificial intelligence.

This study shows that artificial intelligence positively influences consumers’ buying behaviour. This study through a model also shows that integration of artificial intelligence enhances consumers’ purchase intention.

The study has been focusing on a portion of target population. So there is scope to include the whole set of the population to get closer-to-accurate results.

The study offers useful inputs for academicians as well as marketers for predicting buying behaviour of consumers. Marketing managers can use artificial intelligence–embedded technology to enhance online purchase intention.

The study shows that an increase in consciousness towards e-retailing has made consumers keenly analyse and purchase products on the basis of merit and usefulness of the products.

The contribution has been made with the best of knowledge in formulating an integrated artificial intelligence model for consumers’ purchase intention in e-retailing.