Search results

Circular supply chain management (CSCM) is considered a promising solution to attain sustainability in the current industrial system. Despite the exigency of this approach, its application in the food industry is a challenge because of the nature of the industry and CSCM being a novel approach. The purpose of this study is to develop an industry-based systematic analysis of CSCM by examining the challenges for its application, exploring the effects of recognised challenges on various food supply chain (FSC) stages and investigating the business processes as drivers.

Stakeholder theory guided the need to consider stakeholders’ views in this research and key stakeholders directly from the food circular supply chain were identified and interviewed (n = 36) following qualitative methods.

Overall, the study reveals that knowledge, perception towards environmental initiatives and economic viability are the major barriers to circular supply chain transition in the UK FSC.

This research provides a holistic perspective analysing the loopholes in different stages of the supply chain and investigating the way a particular circular supply chain stage is affected by recognised challenges through stakeholder theory, which will be a contribution to designing management-level strategies. Reconceptualising this practice would be beneficial in bringing three-tier (economic, environmental and social) benefits and will be supportive to engage stakeholders in the sustainability agenda.

The present study investigates the impact of opinion leadership and spirituality from three types of social media influencers (SMIs) on individuals’ intentions to conduct recycling. This research is driven by the opinion leadership theory demonstrated by influencer marketing.

This research applies a between-subject experiment to measure the impact of the proposed model. Each participant was exposed to a different influencer: an attractive influencer (Treatment 1, n = 101), an expert influencer (Treatment 2, n = 94), a religious influencer (Treatment 3, n = 99) and a control condition (Treatment 4, n = 102). An ANOVA post-hoc analysis was conducted to further assess the impact dynamics of each influencer based on different demographics such as age, income and level of education. More than 95% of the samples consist of Muslims.

Findings revealed the different dynamics of the effect of opinion leadership and spirituality on the intention to recycle from utilising different types of influencers. Samples derived from a high socio-economic background and exposed to the religious influencer (Treatment 3) have a relatively higher mean score. In general, younger participants with lower incomes and levels of education have less tendency to conduct recycling.

This research attempts to fill the gap in the impact of influencer marketing on green behaviour adoption with the inclusion of spirituality, which has been largely ignored in this context. It offers insights from the perspective of a developing economy that has one of the largest percentages of social media users in the world and from a country that regards a relationship with God as important.

This study proposes that reciprocity appeal may influence consumers helping behavior. The authors suggest that this influence depends on the target of reciprocity (direct vs. indirect), consumer–brand social distance (close vs. distant) and frequency of exposure to the appeal over time.

This research was conducted through three experimental studies. They were carried out both through online experiment (Study 1) and in laboratory (Studies 2 and 3). Study 3 consisted of an experiment combined with longitudinal growth models, supporting the hypothesis that repetitive periods decrease reciprocity over time.

The results demonstrate that consumers close to a brand become more prosocial toward the company when the reciprocity appeal is perceived as direct (vs. indirect). In contrast, the indirect reciprocity appeal influences consumers distant from the company. Furthermore, reciprocity appeal decreases consumer helping behavior over time, but indirect reciprocity appeal attenuates this negative effect only to close customers.

This research contributes to theory by showing that direct reciprocal appeals increase the helping behavior of close customers when company appeals are infrequently made.

This research is the first to empirically investigate the efficiency of voucher campaigns. Furthermore, it innovates by exploring a situation of direct consumer reciprocity in which the consumer decides to help a company with an expectation, but no explicit requirement, that the company will reciprocate.

Consumer choice theory (CCT) and the law of diminishing marginal utility help to explain shoppers that value less and prioritize needs. Additional units provide a marginal return on investment. Buying more does not mean equivalent gains for additional money spent. The researchers developed and validated the necessity shopper scale (NSS) to study need-focused shoppers.

The researchers followed standard psychometric practices to create and validate the NSS. The researchers performed item development, data collection, exploratory analysis, confirmatory factor analysis, and predictive validity analysis using survey data (N = 1,266).

Discriminant and convergent validity analyses demonstrated that the measure was distinct from existing measures. Predictive validity analysis found necessity shoppers (NS) are more likely to buy one over buy one get one half off (BOGOHO). NS were associated with a higher connection to community/group (CTCG). Higher hyperopia (i.e. disinclination to indulgence) with necessity shopping beliefs heightened this CTCG. A higher CTCG was associated with a greater likelihood to select BOGOHO.

NS (more connected to others) buy more to share with others, while buying just enough for themselves. Social connections are long-term investments involving more people and more needs to fulfill. Brands marketed with communal values and able to enhance social connections are discussed as implications to encourage NS to buy more.

Throughout the 21st century, US households have experienced unprecedented levels of leverage. This dynamic has been exacerbated by income shortfalls during the COVID-19 crisis. Leveraging and deleveraging decisions affect household consumption. This study investigates the effect of the dynamics of household leverage and consumption on the stock market.

The authors explore the relation between household leverage and consumption in the context of the consumption capital asset pricing model (CCAPM). The authors test the model's implication that leverage has a negative risk premium by transforming the asset pricing restriction into an unconditional linear factor model and estimate the model using the general method of moments procedure. The authors run time-series regressions to estimate individual stocks' exposures to leverage, and cross-sectional regressions to investigate the leverage risk premium.

The authors show that shocks to household debt have strong and lasting effects on consumption growth. The authors extend the CCAPM to accommodate this effect and find, using various test assets, a negative risk premium associated with household deleveraging. Looking at individual stocks the authors show that the deleveraging risk premium is not explained by well-known risk factors.

This paper contributes to the literature on the role of leverage in economics and finance by establishing a relation between household leverage and spending decisions. The authors provide novel evidence that households' leveraging and deleveraging decisions can be a fundamental and influential force in determining asset prices. Further, this paper argues that household leverage might explain the small, persistent, and predictable component in consumption growth hypothesised in the long-run risk asset pricing literature.

The purpose of this paper is to investigate why multi-tier apparel suppliers integrate social sustainability practices into their supply chains and what barriers these suppliers encounter while embedding social sustainability practices.

This study employs a qualitative research design, drawing on data from semi-structured interviews with 46 owners and managers from 33 multi-tier apparel suppliers in Bangladesh, an important outsourcing hub for the global apparel industry. To corroborate research findings, the views of owners and managers were triangulated by further interviewing 11 key representatives of institutional actors such as third-party auditors, a donor agency, industry associations, regulatory agencies and a non-governmental organisation (NGO).

The authors' findings suggest a range of divergent institutional drivers and barriers – coercive, mimetic and normative – that determine the implementation of multi-tier suppliers' social sustainability practices. The key reported drivers were buyers' requirements, external stakeholders' expectations, top management commitment and competition. Conversely, cost and resource concerns and gaps in the regulatory framework were identified as key social sustainability implementation barriers. In particular, owners and managers of second-tier and third-tier supplier firms experienced more internal barriers such as cost and resource concerns than external barriers such as gaps in values, learning and commitment (i.e. compromise for mutual benefit and non-disclosure of non-compliance) that impeded effective social sustainability implementation.

Social sustainability in supply chain management has received significant attention from academics, business practitioners, governments, NGOs and supranational organisations. However, limited attention has been paid to investigating the drivers and barriers for social sustainability implementation from a developing country's multi-tier supplier perspective. The authors' research has addressed this knowledge gap.

The evidence from the authors' study provides robust support for key assumptions of institutional theory and has useful implications for both managers and policy-makers.

The authors' study contributes to the embryonic research stream of socially sustainable multi-tier supply chain management by connecting it to the application of institutional theory in a challenging institutional context.

The outset of the COVID-19 pandemic caused disruptions of all forms in the supply chain globally for almost two and a half years. This study identifies various challenges in the effective functioning of the existing supply chain during COVID-19. The focus is to see the disruptions impacting the energy storage supply chains.

The procedure entails a thorough analysis of scholarly literature pertaining to various supply chain interruptions, confirmed and verified by experts working in an energy storage company in India. These experts also confirmed the occurrence of more disruptive factors during their interviews and questionnaire survey. Moreover, this process attempts to filter out the relevant causal disruption factors in an energy storage company by using the integrated approach of qualitative and quantitative methodologies.

The results provide practical insights for the company management in planning and devising new strategies to manage supply chain disruptions. Supply chains for companies in other industry sectors can also benefit from the proposed framework and results in making them more robust to counter future disastrous events.

The study provides an easily adaptable decision framework to different industries by closely examining supply chain disruptions and identifying associated causes for building a robust supply chain focused on the energy storage sector. It examines four disruption dimensions and investigates possible outcomes and impacts of disruptions.

In prior literature, online endorsement system allowing the users to “like” or “dislike” shared information is found very useful in information filtering and trust elicitation in most social networks. This paper shows that such systems could fail in the context of investment communities due to several psychological biases.

This study develops a series of regression analyses to model the “like”/“dislike” voting process and whether or not such endorsement distinguishes between valuable information and noise. Trading simulations are also used to validate the practical implications of the findings.

The main findings of this research are twofold: (1) in the context of investment communities, online endorsement system fails to signify value-relevant information and (2) bullish information and “wisdom over the past event” information receive more “likes” and fewer “dislikes” on average, but they underperform in stock market price discovery.

This study demonstrates that biased endorsement may lead to the failure of the online endorsement system as information gatekeeper in investment communities. Two underlying mechanisms are proposed and tested. This study opens up new research opportunities to investigate the causes of biased endorsement in online environment and motivates the development of alternative information filtering systems.

This study aims to investigate the extent and pattern of the influence of one of the most important decision-making tools in the context of social commerce. This study demonstrates how much customer testimonials (including verified purchases and ordinary users) can influence the sales rank of experience and search goods.

The data were collected by text mining and performing a content analysis on the XML documents of Web pages and processing them. For search goods, 22,311 opinions were recorded regarding 95 mobile phones. Additionally, for experience goods, 67,817 opinions were recorded regarding 162 books in the Amazon online store. The data were analyzed by functional regression method in longitudinal data analysis.

In terms of importance, the opinions and recommendations of verified purchases had a 60% greater impact on the sales rank of experience goods than the opinions and recommendations of ordinary users. In search goods, the opinions of ordinary users had a greater impact than the opinions of verified purchases. The historical effect of the opinions of ordinary users at the end of the review period on sales rank was evident, while the historical effect of the verified purchase viewpoints during the review period had a nonlinear curve. The results showed that it was necessary to increase the volume of comments to increase their reliability in experience goods.

Measuring the effect of customer testimonials helps the managers of retail websites design algorithms and online suggestion systems, thereby improving the sales of their products by providing information desired by customers.

Individuals can be a source of information and influence the buying decision process of others by sharing their experiences. This issue helps reduce the purchase risk and explains the importance of interaction and sharing the customer’s experience.

Analyzing the impact of customer testimonials by separating verified purchases and ordinary users is one of the advantages of this study. The quantitative estimation of the impact of recommendations and the provision of a model of their historical effect is one of the approaches not addressed in similar studies.

Rapid changes in technologies and customer preferences are increasing market uncertainty. Hence, despite the benefits of reactive and adaptive marketing in the industrial market, such marketing is sometimes insufficient for suppliers to survive and succeed. This phenomenon is prevalent among the small and medium-sized suppliers (SMSs) who fail to build technological capability. This suggests that SMSs should be entrepreneurial to survive and succeed in today’s environment. Against this backdrop, the purposes of this study are to understand the process by which entrepreneurial marketing of SMSs enhances their technological capability and to explore factors that stimulate SMSs to implement entrepreneurial marketing.

Based on a survey data set on 249 industrial SMSs in South Korea, the authors test the hypotheses formulated in this work using structural equation modeling.

Based on effectuation theory, this study conceptualizes entrepreneurial marketing as a process by contrasting entrepreneurial marketing with reactive and adaptive marketing. The results show that proactive market orientation and subsequent exploratory market behavior enhance technological capability, and proactive market orientation is stimulated by relational satisfaction and perceived technological turbulence.

This study advances effectuation theory in the industrial marketing literature by exploring the value of entrepreneurial marketing in today’s industrial market. Further, this study extends the entrepreneurial marketing literature by conceptualizing and testing the process by which entrepreneurial marketing of SMSs enhances their technological capability.