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Fourth Industrial Revolution (IR 4.0) technologies have strong potential to affect consumer well-being, positively or negatively, so the current paper aims to review potential opportunities and threats that these technologies represent for consumers in several core economic sectors: health care, education, financial services, manufacturing and retailing.

This paper proposes a conceptual framework for how IR 4.0 technologies affect consumer well-being in five representative sectors: health care, education, financial services, manufacturing and retailing. The authors argue that the potential transformations of these specific sectors, facilitated by these technologies, may have profound effects on consumer well-being, with urgent public policy implications.

Emerging technologies, such as artificial intelligence, robotics, the Internet of Things, three-dimensional printing, machine learning and blockchain, provide customers with novel approaches toward decisions regarding health, education, finances and other fundamental parts of their lives. The organizations that provide these services, such as hospitals, universities and banks, actively adopt the innovations offered by IR 4.0. These evolving and disruptive technologies thus are changing reality for consumers and providers.

This paper proposes some novel public policy implications of IR 4.0 technologies for consumer well-being, and it outlines further research directions that can enhance understanding of relevant technologies and the consequences of their use for society.

Technological progress and the advancement of the 4th Industrial Revolution (IR 4.0) are well underway. However, its influence on the transformation of core sectors from the perspective of consumer well-being remains under-explored. Seeking to bridge this gap in the marketing and public policy literature, this study aims to propose a conceptual framework to explicate how data-driven, intelligent and connected IR 4.0 technologies are blurring traditional boundaries between digital, physical and biological domains.

This is a conceptual paper using primarily a literature review of the field. The authors position the work as a contribution to consumer well-being and public policy literature from the lens of increasingly important in our technology-integrated society emerging technologies.

The authors define and conceptualize technology-enabled well-being (TEW), which allows a better understanding of transformative outcomes of IR 4.0 on three essential dimensions of consumer well-being: individual, societal and environmental. Finally, the authors discuss public policy implications and outline future research directions.

The authors highlight specific gaps in the literature on IR 4.0. First, past studies in consumer well-being did not incorporate substantial changes that emerging IR 4.0 technologies bring, especially across increasingly blurring digital, physical and biological domains. Second, past research focused on individual technologies and individual well-being. What is unaccounted for is the potential for a synergetic, proactive effect that emerging technologies bring on the aggregate level not only to individuals but also to society and the environment. Finally, understanding the differences between responses to different outcomes of technologies has important implications for developing public policy. Synergetic, proactive effect of technologies on core sectors such as healthcare, education, financial services, manufacturing and retailing is noted.

The sustainable fashion (SF) literature is fragmented across the management discipline, leaving the path to a SF future unclear. As of yet, there has not been an attempt to bring these insights together or to more generally explore the question of “what is known about SF in the management literature and where could the SF field go from there?”. The purpose of this paper is to bring together the field to identify opportunities for societal impact and further research.

A systematic literature review was conducted from the first appearances of SF in the management literature in 2000 up to papers published in June 2019, which resulted in 465 included papers.

The results illustrate that SF research is largely defined by two approaches, namely, pragmatic change and radical change. The findings reveal seven research streams that span across the discipline to explore how organisational and consumer habits can be shaped for the future.

What is known about SF is constantly evolving, therefore, the paper aims to provide a representative sample of the state of SF in management literature to date.

This review provides decision makers with insights that have been synthesised from across the management field.

This review identifies knowledge gaps and informs managerial decision making in the field, particularly through serving as a foundation for further research.

The purpose of this paper is to demonstrate the value of enriched customer data for analytical customer relationship management (CRM) in the insurance sector. In this study, online quotes from an insurer’s website are evaluated in terms of serving as a trigger event to predict churn, retention, and cross-selling.

For this purpose, the records of online quotes from a Swiss insurer are linked to records of existing customers from 2012 to 2015. Based on the data from automobile and home insurance policyholders, random forest prediction models for classification are fitted.

Enhancing traditional customer data with such additional information substantially boosts the accuracy for predicting future purchases. The models identify customers who have a high probability of adjusting their insurance coverage.

The findings of the study imply that enriching traditional customer data with online quotes yields a valuable approach to predicting purchase behavior. Moreover, the quote data provide supplementary features that contribute to improving prediction performance.

This study highlights the importance of selecting the relevant data sources to target the right customers at the right time and to thus benefit from analytical CRM practices.

This paper is one of the first to investigate the potential value of data-rich environments for insurers and their customers. It provides insights on how to identify relevant customers for ensuing marketing activities efficiently and thus avoiding irrelevant offers. Hence, the study creates value for insurers as well as customers.

The purpose of this paper is to apply the theory of planned behaviour (TPB) to determine which psychosocial factors are predictors of older adults’ safe food storage practices at home.

An online structured questionnaire was developed and administered to older adults (60+). Two behavioural intention outcomes were investigated: thawing meats safely and storing leftovers within recommended guidelines. The survey instrument measured socio-demographic and TPB variables: attitudes, subjective norms, perceived behavioural control and intentions. A measure of self-reported habitual behaviour was also recorded and used to determine whether past practice influenced behavioural intentions.

Respondents (n=78) demonstrated good intentions to safely defrost meats and store leftovers. The models accounted for 41 and 48 per cent of the variance in intentions to perform safe storage behaviours. Attitudes and subjective norms were predictors of intentions to safely thaw meats. Habitual behaviour was a significant predictor of behavioural intentions to safely store leftovers. Perceived behavioural control was a significant predictor of intentions to thaw meats and store leftovers.

The sample size was small, and results are to be interpreted with caution.

The results indicate that theory-based solutions to solving food safety among consumers may be a feasible strategy.

The study is the first of its kind to apply the TPB to this consumer group.

The purpose of this paper is to systematically review the platform literature and synthesize the various topics of research into a common framework to reveal the relations between platform-based service innovation, system design and other platform-related factors.

A quantitative descriptive analysis led to an overview of the distribution of research focuses of the 187 sample articles identified by a well-established search strategy. A qualitative in-depth review was then used to clarify the detailed research topics and generate an overall conceptual model to link them, with a focus on platform-based service innovation and system design.

In total, 11 research topics of three research perspectives were identified and linked by a framework that accounts for the relationships between platform-based service innovation and system design and their influences on platform evolution. A small panel of industry experts validated the accuracy and utility of the proposed framework.

This paper provides an integrated framework for separately developed research perspectives and the topics investigated in the platform literature. Through the proposed framework, this paper helps to improve the knowledge on platform study and management, and lays a foundation for exploring the research opportunities in platform-based service innovation and system design.

This study aims to examine the impact of signaling through social media (SM) on funding achieved by start-ups.

This study follows a causal research design and is based on unique data set compiled from Crunchbase-Pro and Twitter. The sample size is 1,672 Indian start-ups. Heckman’s model and ordinary least squares regression is used to test the hypothesis.

Devising a thoughtful SM strategy, should be an integral part of the overall strategy of the start-ups looking out for funds. LinkedIn presence is in itself a positive signal. Active usage of Twitter and feedback from other Twitter users has a positive impact on funds raised by the start-up. Posting retweets and repetitive usage of URLs and media is not a predictor of funds raised by the start-up.

An early-stage strategy on SM adoption, especially Twitter can play an important role in attracting interest and attention of stakeholders. To capitalize SM, entrepreneurs should maintain an active SM account of the start-up.

India has emerged as one of the start-up hubs of the world. However, there is a dearth of literature on SM usage by start-ups in India. To the best of the authors’ knowledge, this study is first of its kind and establishes the results empirically based on more than 100k tweets for a large pool of Indian start-ups.

The purpose of the paper is to investigate the critical success factors (CSFs) associated with the effectiveness of transfer and sharing of tacit knowledge in lean and agile construction processes.

The study identifies ten CSFs that initiate the transferring and sharing of tacit knowledge. The CSFs are validated through quantitative study. This study recruited project managers, executives, consultants and other managers that are directly involved in the management of a construction project. It recruits the respondents those have background and experience from disciplines such as lean construction, agile construction, construction supply chain (CSC) and knowledge management in lean, agile and CSC. The data collected through self-administrative questionnaire are categorised as ordinal data to analyse in SPSS with frequency and Kruskal–Wallis H test, Spearman’s correlation analysis and a rank-order analysis is done to establish the level of importance of those factors.

Initially, “Trust between construction organisations” is identified as the foremost CSF. Moreover, other CSFs such as motivation, leadership capabilities, business strategies and organisational capabilities follow trust.

This is the first study that investigates and establishes the CSFs that are essential to initiate transferring and sharing tacit knowledge in a lean and in an agile construction processes.

This paper aims to analyze whether chief executive officer (CEO) incentives and characteristics (e.g. CEO power, CEO tenure) are linked with corporate social responsibility (CSR) and vice versa.

Based on upper echelons theory, the author conducts a structured literature review and evaluates 84 empirical-quantitative studies on CEO and CSR variables.

While the majority of the included studies analyzed the CEO-CSR link, there are indicators for a bidirectional relationship. Moreover, prior research has focused on CEO incentives, especially compensation contracts, and on the US capital market. A major research gap relates to CEO characteristics, e.g. CEO values, education and experience.

Heterogeneous CEO and CSR variables and endogeneity concerns lower the validity of recent studies. Future research is encouraged to implement dynamic regression models, increase CSR and CEO proxies and focus on international samples with country-specific effects.

As CEO activities can have a major impact on CSR activities, the author recommends firms to search for opportunities to make their CSR strategy more comprehensive by their stakeholder communication, thus providing deeper insights into their CSR performance in line with stakeholders’ interests.

The paper is the first literature review on the interaction between CEO and CSR so far. The author explains the main CEO and CSR variables that have been included in research, stresses the limitations of the studies and gives useful recommendations for future research, practice and regulators.