Search results

The main fast moving consumer goods (FMCG) retail formats that customers engage with in India are Kirana stores, neighborhood convenience stores (NCS), supermarkets and online retailers. However, there has been less research done on the variables or antecedents that could favorably affect consumers' engagement with these FMCG retail formats. To improve retail practices, this study looks at how female consumers perceive the performance of FMCG retail formats on different antecedents of consumer engagement. The status of consumer engagement with FMCG retail formats was also analyzed.

The present study used exploratory as well as descriptive research design. Previous studies were analyzed to identify the antecedents of consumer engagement. A structured questionnaire was used to collect the primary data from 400 female respondents of two major urban cities in north-western India. The descriptive analysis and one-way ANOVA test were performed to analyze the data.

Kirana stores’ performance on most of the antecedents was not satisfactory. Supermarkets and online retailers performed better on all antecedents. Customer marketing orientation and experiential marketing were the antecedents that required more attention from Kirana stores, NCS and supermarkets. Consumer engagement with online retailers was highest, whereas consumer engagement with Kirana stores was least.

This study offers a comprehensive examination of the antecedents of consumer engagement and consumer engagement with FMCG retail, which no prior research has studied in the context of FMCG retail businesses.

This study aims to expand antecedent roles on social entrepreneurial behavioural intention by integrating both the Three Pillars of Institutions and the Mair Noboa model. The literature lacks in investigating both institutional- and individual-level antecedents to determine social entrepreneurial behavioural intention. This proposed integrated model was developed in which the Mair Noboa's model antecedents mediates the positive relationship between the antecedents of Three Pillars of Institutions and social entrepreneurial intention.

This study uses quantitative research methodologies to answer the research question of the extent that institutional-level antecedents in turn influence individual antecedents and thus determine social entrepreneurial intention. To explore this, a Web-based survey distributed across Bangladesh (n = 412). The confirmation of hypotheses involved using covariance-based structural equation modelling (SEM) for data analysis. The resulting measurement and structural models successfully met all criteria for reliability, model fit, convergent validity and discriminant validity. The hypotheses were subsequently assessed by examining both direct relationships and mediating effects.

The findings demonstrated a significant relationship between the antecedents of the Three Pillars of Institutions and the Mair Noboa model. The results suggest that the Mair Noboa model antecedents can mediate the relationship between the Three Pillars of Institutions and social entrepreneurial intention.

This paper advances the existing knowledge of social entrepreneurial intention, through the novel lens of combined institutional and individual antecedents. This paper fills an important knowledge gap by exploring both institutional- and individual-level antecedents to determine social entrepreneurial intention. This study findings yield fresh theoretical and practical insights into how institutional and individual antecedents jointly influence social entrepreneurial intention.

This study aims to analyse the relative prominence of antecedents of digital accounting practices in the micro, small and medium enterprises (MSME) industry. The Ministry of MSME defines the sector as comprising manufacturing enterprises and enterprises rendering services in terms of investment in plant and machinery and the annual turnover. The study is motivated by the rapid usage of digitalisation that has become the driving force guiding organisational development.

This study builds on technological–organisational–environmental framework to analyse the objective. It identifies five technological sub-antecedents, six organisational sub-antecedents and five environmental sub-antecedents. Data were gathered from 202 accounting professionals from MSMEs and academicians. Semi-structured interviews with experts were also conducted to corroborate the analysis of results. Then, the study applied fuzzy analytic hierarchy process to analyse the prominence.

This study finds that the technological antecedent captures the topmost position among all three antecedents, followed by organisational antecedent. They play a critical role in driving digitalisation in accounting practices. Among sub-antecedents, the highest priority is provided to technological accounting infrastructure, followed by cybersecurity precautions, training and allied services for accounting software, support from management and availability of accounting resources.

The study contributes to the scant literature by establishing hierarchy of relevance of different antecedents of digital accounting practices in MSMEs. It offers valuable insights to accounting practitioners and MSME owners/managers. They can pay attention to the prominent antecedents identified in this study to build a robust innovation structure for implementing digitalised accounting practices. The study also has significance to policymakers, specifically when they are more focused on the growth and development of MSMEs.

This study integrates previous research on the intention to use Airbnb to determine which antecedents provide a parsimonious explanation.

Meta-analyses based on 61 samples estimate how 8 antecedents are associated with the intention to use Airbnb. Subsequent analyses utilize meta-analyses to estimate a regression model to simultaneously estimate the relationship between the antecedents and the intention to use Airbnb. Relative weight analysis then determined each antecedent’s utility.

A parsimonious model with only four antecedents (hedonic motivation, price value, effort expectancy and social influence) was nearly as predictive as the full eight-antecedent model. Ten moderating variables were examined, but none were deemed to consistently influence the relationships between the antecedents and the intention to use Airbnb.

Relatively few measures (i.e. four) effectively explain customers’ intentions to use Airbnb. When these measures cannot be readily influenced, alternatives are also presented. Implications for the travel industry are considered and straightforward approaches to increasing users are presented.

This is the first integrative review of customers’ intentions to use Airbnb. We integrate what is currently known about customers’ intentions to use Airbnb and then provide a robust model for Airbnb use intentions that both researchers and practitioners can utilize.

Within the literature of global mindset there has been much discussion of antecedents. Few attempts have been made, however, to analyze the outcomes of a global mindset. Our chapter undertakes a thematic analysis of global mindset antecedents and outcomes in the 1994–2013 literature. Adopting an inductive approach and borrowing methods from international business and managerial cognition studies, we map, assess, and categorize 42 empirical and 10 theoretical studies thematically. We focus on the antecedents and outcomes at individual, group, and organizational levels. We conceptualize corporate global mindset as a multidimensional construct that incorporates global mindset at the individual level and is dependent on a robust communications infrastructure strategy for its cultivation throughout the organization. Our study categorizes antecedents and outcomes by level and identifies the gaps in global mindset outcomes and firm performance for future researchers to address.

Recognizing Gigerenzer’s (1991) dictum that scientists’ tools are not neutral (tools-in-use influence theory formulation as well as data interpretation), this chapter reports theory and examines data in ways that transcend the dominant logics for variable-based and case-based analyses. The theory and data analysis tests key propositions in complexity theory: (1) no single antecedent condition is a sufficient or necessary indicator of a high score in an outcome condition; (2) a few of many available complex configurations of antecedent conditions are sufficient indicators of high scores in an outcome condition; (3) contrarian cases occur, that is, low scores in a single antecedent condition associates with both high and low scores for an outcome condition for different cases; (4) causal asymmetry occurs, that is, accurate causal models for high scores for an outcome condition are not the mirror opposites of causal models for low scores for the same outcome condition. The study tests and supports these propositions in the context of customer assessments (n = 436) of service facets and service-outcome evaluations for assisted temporary-transformations of self via beauty salon and spa treatments. The findings contribute to advancing a nuanced theory of how customers’ service evaluations relate to their assessments of overall service quality and intentions to use the service. The findings support the need for service managers to be vigilant in fine-tuning service facets and service enactment to achieve the objective of high customer retention.

Advances in digital technologies and the growing number of touch points have had a significant impact on the shopping behaviour of omnichannel customers. Several research papers have explored different facets of omnichannel, but only a few have thoroughly explored the literature on showrooming and webrooming simultaneously. This paper aims to identify the key groups of antecedents influencing customer buying behaviour in omnichannel, under the influence of digital technologies, with a particular focus on showrooming and webrooming.

Our study conducted a systematic literature review to identify the factors influencing customers’ buying behaviour in omnichannel, which have been the subject of academic discussion over the last decade. We finalized 149 articles for the thematic analysis and identified three groups of antecedents: channel-related, product-related and consumer-related with their subgroups.

Under channel-related antecedents, cost and perceived benefits, search convenience, need for interaction and situational circumstances have been identified as major attributes. The expressiveness of the product, product demonstration and search and experienced products have been identified under product-related antecedents, followed by price consciousness, past experiences, perceived risks and shopping motivations as leading attributes under consumer-related antecedents. The study revealed the multifaceted influence of digital technologies on omnichannel buying behaviour. Digital technologies are shaping the antecedents related to channels, products and consumers. Digital technologies simultaneously mediate between antecedents and the selection of a specific path within an omnichannel environment. Showrooming and webrooming should no longer be seen as general concepts. The rise of digital technologies has led to the development of new consumer journey patterns and the blurring of distinctions between showrooming and webrooming. A conceptual framework has been proposed to understand consumers' omnichannel behaviour, having considered the identified antecedents and the role of digital technologies.

This study advances the academic understanding of consumer behaviour in omnichannel under the influence of digital technologies and provides important implications for omnichannel management. With the advancement of digital technologies such as augmented reality and virtual reality, retailers should implement channel integration strategies to bridge the gap between online and offline channels, providing a memorable shopping experience for omnichannel customers.

This study is unique because it identifies and analyses the antecedents of consumer behaviour in omnichannel settings under the influence of digital technologies. It also uncovers new potential combinations of showrooming and webrooming patterns. The proposed framework can help retailers in their future planning of omnichannel strategies.

The low level of financial literacy among young adults is a pressing concern at both individual and country levels. Therefore, there is a dire need to understand the best-worst antecedents of financial literacy and how they influence each other.

A two-phased multicriteria decision-making (MCDM) technique consisting of best-worst method and interpretive structural modeling (BWM-ISM) was employed for pair-wise comparison, assigning weights, ranking and establishing the relationship among antecedents of financial literacy.

Results suggest that use of Internet (SF1), role of financial advisors (SF3) and education level of individuals (DS7) are top ranked antecedents, whereas masculinity/feminity, language and power distance in society are the least ranked antecedents of financial literacy. Findings will help both academicians and practitioners focus on the key factors and make efforts to increase financial literacy by minimizing resource usage.

The current study provides clarity among antecedents of financial literacy by following BWM-ISM approach for the first time in the financial literacy context.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2022-0746

A digital supply chain (DSC) positively enhances circular economy (CE) practices. However, what factors and conditions lead to the implementation of DSC for transitioning toward CE is not yet clear. Therefore, this study aims at identifying and subsequently analyzing the antecedents of DSC for CE.

The study identifies major antecedents of DSC for CE to achieve sustainability objectives through literature review and expert opinions. In this study, 19 potential antecedents of DSCs for CE are established from the literature and suggestions from industry professionals. A trapezoidal fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach is applied quantitatively to investigate the antecedents identified.

Conducted in the context of Indian automobile manufacturing industry, the findings of the study reflect that advanced information sharing arrangement, effective government policies for DSC and CE implementation and digitalizing the supply chains are the top three potential antecedents of DSC for a CE.

In the existing literature, few studies are specific to investigating the DSC and CE paradigm. The present study will help organizations develop a practical and integrated strategic approach that will foster DSC through improved knowledge of CE.

This study examines antecedents to fintech use intention to determine which antecedents can provide a parsimonious, yet accurate explanation.

Meta-analyses based on 42 samples estimate how seven antecedents are associated with fintech use intentions. Subsequent analyses utilize meta-analyses to estimate a regression analysis to simultaneously estimate the relationship between the antecedents and fintech use intention. Relative weight analysis then determined each antecedent's utility.

Hedonic motivation, price value, performance expectations and social influence had the strongest relationships with intention to use fintech. Further analyses found a parsimonious model with only three antecedents was nearly as predictive as the full seven antecedent model. Four moderating variables were examined but played minor roles.

Common method variance may impact the findings because all primary studies used cross-sectional surveys.

Very few measures (i.e. three) can robustly explain fintech use intention. When these measures cannot be readily influenced, alternatives are also presented.

This is the first integrative review of fintech use intentions. The authors integrate what is currently known about fintech use intentions and then provide a robust model for fintech use intentions that both researchers and practitioners can utilize.