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Employing means‐end theory, this paper seeks to examine the influence of specific types of product attributes upon desired consumption consequences and the mediating impact of desired consequences upon purchase frequency.

The research employed means‐end interviews to generate specific attribute and consequence measures. These measures were then administered in a survey instrument within the context of a fashion product. Partial least squares was used for testing the measurement validity of the survey instrument and testing the structural model and related hypotheses.

Style attributes significantly related to desired psychological and social consequences but did not significantly relate to functional consequences. Quality significantly related to functional consequences and social consequences but not psychological consequences. Price significantly related to all consequences. Psychological consequences were the strongest predictor of purchase frequency followed by functional consequences. Finally, desired consequences played a mediating role between product attributes and purchase frequency, with no direct influence of attributes upon purchase frequency.

The findings demonstrate the value of understanding the consumption consequences that consumers desire for products, especially after initial purchase. In doing so, the findings also provide some evidence that consequences may be better predictors of behavioral outcomes than product attributes.

This study demonstrates that the consumer means‐end value hierarchy can be used as a tool for understanding the meanings that consumers construct around products and services. Moreover, it indicates that marketers should consider customer value analysis as a segmentation tool.

This paper represents one of the few to test the chain of cause‐and‐effect relationships of the means‐end hierarchy within an integrated framework. It is original in that it specifically tests the relationships between major attributes (i.e. style, quality, and price) and particular consequence types (i.e. psychological, social, and functional).

The purpose of this paper is to develop a theorization of the unintended consequences of sustainable supply chain management (SSCM).

The authors integrate extant theory of unintended consequences, sustainable supply chain management and paradox theory to develop a typology of the unintended consequences of SSCM initiatives and a conceptual model of the antecedents of these unintended consequences.

The authors advance a mutually exclusive and collectively exhaustive typology of the unintended consequences of SSCM initiatives. These unintended consequences include trade-offs as well as synergies in the form of positive spillover. The authors’ conceptual model identifies multiple levels of stakeholders, multiple performance dimensions, multiple time horizons and the interplay with social construction as antecedents to the unintended consequences of SSCM initiatives.

The authors’ typology suggests that managers must move beyond simply assessing whether the intended consequences of an SSCM initiative have been achieved. Managers must also, to the extent they can, assess the potential for unintended consequences to arise. The authors’ typology provides an initial roadmap for managers to continue, discontinue or further consider an SSCM initiative, based on the resulting unintended consequences. The authors’ theorization also provides guidance about how managers can more successfully bring SSCM initiatives to fruition and start cycles of learning.

There largely has been a focus in the operations and supply chain management literature on trade-offs between economic performance on the one hand and social or environmental performance on the other. The authors advocate that this focus needs to shift to interactions within and between social and environmental performance. Further, trade-offs are only one type of unintended consequence. By developing a mutually exclusive and collectively exhaustive typology, the authors introduce a much clearer conceptualization of the unintended consequences of an SSCM initiative and a much better understanding of how to manage SSCM initiatives, both prior to and postimplementation.

The purpose of this paper is to explore the dark side of supermarket-driven sustainable dairy supply chains. This paper raises questions about the unintended consequences of implementing sustainable supply chain management in the dairy food supply chain. It critically questions whether unintended consequences were actually, anticipated, as the course of action taken by retailers reinforces the dominant profitability discourse.

Through a critical management studies approach, this paper challenges the dominant discourse to shed light on the social consequences of the win-win sustainable supply chain management in the dairy food supply chain. The focus of this paper is on the experiences of farmers, taking their viewpoint of sustainable supply chains rather than taking the perspective of the multinationals who have traditionally been the focus of supply chain management research (e.g. McCarthy et al., 2018; Quarshie et al., 2016).

The study illuminates how retailers have bolstered their dominant position through using sustainable supply chains to exert further control over their suppliers. The management of sustainable supply chains has been a further catalyst in economically and socially dividing rural communities and creating tensions between dairy farmers.

This paper uses an ethnographic study to provide in-depth stories of the changes that took place within one farming community. It exposes the hidden ways in which the introduction of a sustainable dairy supply chain has created social and economic division, further reducing the collective power of dairy farmers through creating a dual supply chain.

The purpose of this study is to construct consumer value structures for clothing.

Using content analysis, a total of 301 advertisements from the New Yorker and Esquire magazines are analyzed during one representative year out of each of the last four decades.

Consumer values reflected in clothing ads are identified as functional, social, emotional and epistemic. Functional value dominated throughout the 1970s, 1980s, and 1990s, but showed a decreasing trend. By the 2000s, emotional value had overtaken functional value in emphasis. Consumer consequences and product attributes, which fell under each of the consumer values, are also revealed. Of all the consumer consequences, high quality was connected the most frequently with functional value. At the same time, high quality served as an intermediary qualifier for symbols of social status, a consequence of social value. Fabric was the attribute linked most frequently to functional and social consequences.

Clothing companies can use the values, consequences and attributes presented here to differentiate between values, to determine the most effective attributes to emphasize, and to target certain audiences for their marketing and advertising strategies.

The essential contribution of this paper is that this study reveals a hierarchical dimension to clothing value and is the first study which attempts to construct a means‐end chain through the content analysis of advertisements.

The purpose of this paper is to investigate the motivations, concerns, benefits and consequences associated with non-use of social media. In doing so, it extends Wyatt’s commonly used taxonomy of non-use by identifying new dimensions in which to understand non-use of social media. This framework encompasses a previously unidentified category of non-use that is critical to understand in today’s social media environment.

This is an exploratory interview study with 17 self-identified social media non-users distributed across age groups and socioeconomic backgrounds. A thematic analysis is conducted based on a novel extension of Wyatt’s framework and the risk-benefits framework. This is supplemented by open coding to allow for emerging themes.

This paper provides empirical insights into a formerly uninvestigated population of non-users who are prevented from using social media because of social engagement (rather than functional) barriers. It identifies how these individuals face social consequences both on and off social media, resulting in social disenfranchisement.

This is an initial exploration of the phenomenon using an interview study. For generalizability, future research should investigate non-use with a broader and random sample.

This paper includes design recommendations and implications for social media platform designers to mitigate the consequences experienced by socially disenfranchised non-users.

Addressing concerns of this newly identified class of non-users is of utmost importance. As others are increasingly connected, these non-users are left behind and even ostracized – showing the dark sides of social media use and non-use.

This work identifies types of non-use of social media previously unrecognized in the literature.

The purpose of this paper is to review what we know – and don't know – about Generation Y's use of social media and to assess the implications for individuals, firms and society.

The paper distinguishes Generation Y from other cohorts in terms of systematic differences in values, preferences and behavior that are stable over time (as opposed to maturational or other differences). It describes their social media use and highlights evidence of intra‐generational variance arising from environmental factors (including economic, cultural, technological and political/legal factors) and individual factors. Individual factors include stable factors (including socio‐economic status, age and lifecycle stage) and dynamic, endogenous factors (including goals, emotions, and social norms).The paper discusses how Generation Y's use of social media influences individuals, firms and society. It develops managerial implications and a research agenda.

Prior research on the social media use of Generation Y raises more questions than it answers. It: focuses primarily on the USA and/or (at most) one other country, ignoring other regions with large and fast‐growing Generation Y populations where social‐media use and its determinants may differ significantly; tends to study students whose behaviors may change over their life cycle stages; relies on self‐reports by different age groups to infer Generation Y's social media use; and does not examine the drivers and outcomes of social‐media use. This paper's conceptual framework yields a detailed set of research questions.

This paper provides a conceptual framework for considering the antecedents and consequences of Generation Y's social media usage. It identifies unanswered questions about Generation Y's use of social media, as well as practical insights for managers.

Online social networks can bridge the gap between distant individuals by simulating online experiences that closely resemble physical interactions. While people have positive experiences, such as joy, in a physical relationship and would like to enjoy those experiences online, they also have negative experiences, such as being subject to a lie. An online social network may allow users to lie to simulate a real-world social group better. However, lying must be prevented on social networks as unethical behavior. Thus, this study aims to investigate an ethical dilemma raised due to the two abovementioned perspectives.

This paper examines different aspects of lying in social networks, using a comprehensive descriptive literature review approach and a classification scheme.

Contrary to their initial intent, social networks are disrupting the traditional notion of human interaction, either by disregarding the presence of dishonesty or by attempting to regulate relationships. In this research, the authors examine the challenges of these two perspectives by identifying enablers, consequences and control measures of lying on social networks at the individual, social and technological levels. The authors also develop a framework to facilitate investigating this dilemma.

This paper examines a controversial topic. Although lying is unethical, allowing users to lie may be considered an appealing feature of social network platforms. This paper offers a framework to propose several research directions for future studies. This study’s examination focuses on the challenges associated with deception on social networks, prompting the formulation of three crucial questions regarding the potential impact of technology on such behavior.

Man has always faced natural hazards and thus attempted to reduce their financial and loss-of-life damages. Assuring sustainable development in the post-disaster reconstruction of areas requires predictive measurements (i.e. vulnerability assessment). This study aims to assess the outcomes of relocating villages after the 2005 flood in the east of Golestan Province in Iran through sustainable development.

This study is an applied research combining qualitative content analysis and quantitative cross-sectional surveys. The statistical population comprises the inhabitants of Faraghi New Town (formed by aggregating 11 villages) and the villagers returning to their former rural settlement. The independent samples t-test was used to compare the outcomes of reconstruction for the samples. Data were collected using a questionnaire and in-depth interviews with the residents. The gathered data were analyzed by content analysis.

The results indicate that building new settlements – while reducing physical vulnerability – cannot be classified as a step toward sustainable development in economic and social aspects because the increasing trend of migration to urban areas, return to former villages, tribal disparities, reduced production, increased bank debts and increased urban insecurity are among the primary adverse social and economic consequences of rural relocations. This finding helps to assist planners and post-disaster designers to reconstruct more sustainable societies.

This study tries to investigate the effects of post-disaster reconstruction in rural settlement in Iran through sustainable development aspects for the first time. It would benefit for policymaking and urban planners and designers to make more resilient societies after disasters.

The emerging literature on social entrepreneurship and its role in economic development and social value creation is riddled with inconsistencies, overlapping definitions, and contradictions. However, the theoretical and practical importance of developing and applying social entrepreneurship to sustain social development and enhance human well‐being in rapidly changing environments has catapulted this issue to the forefront of the research agendas of many scholars. In light of advancement, the purpose of this paper is to clarify the concept of social entrepreneurship. Further, a conceptual model is developed encompassing antecedents and consequence of social entrepreneurship in an integrated framework.

The paper draws on the work of others and to this adds personal conclusions from both direct experience and observation.

The central argument is that desirability and feasibility of social entrepreneur in the decision‐making process, human capital, and social capital at the individual level will have the positive effects on social entrepreneurship. The author also discusses the moderation effects between the desirability and feasibility of social entrepreneur in the decision‐making process on initiating social entrepreneurship activities. Moreover, it is argued that social and institutional environment factors also promote social entrepreneurship activities which push the social improvement.

The paper presents a theoretical research model incorporating antecedents and consequence of social entrepreneurship to direct a future research agenda. The paper could be used as the research model by researchers to empirically test antecedents and consequences of social entrepreneurship. Moreover, practitioners can also gain benefits from the conceptual framework and promote social entrepreneurship.

The purpose of this study is to explore customer-artificial intelligence (AI) service technology engagement and relationship development drivers, as well as potential negative consequences in the context of social chatbots.

A sequential mixed-method approach combined exploratory qualitative and confirmatory quantitative analyses. A conceptual model developed from Study 1 qualitative content analysis of in-depth interviews with active users of the AI social chatbot Replika was tested in Study 2 by analyzing survey data obtained from current Replika users.

Loneliness, trust and chatbot personification drive consumer engagement with social chatbots, which fosters relationship development and has the potential to cause chatbot psychological dependence. Attachment to a social chatbot intensifies the positive role of engagement in relationship development with the chatbot.

This study was the first to combine qualitative and quantitative approaches to explore drivers, boundary conditions and consequences of relationship and dependence formation with social chatbots. The authors proposed and empirically tested a novel theoretical model that revealed an engagement-based mechanism of relationship and dependence formation with social chatbots.