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This paper aims to investigate the effects of goal orientation on understanding the dynamics of stocks and flows (SF).

The authors use the well-established department store task as the experimental task to evaluate people’s understanding of SF and implement a survey to assess different goal orientation levels. Ordinary least square is used to test the effects of goal orientations on the SF performance.

The findings suggest that learning goal orientation is positively associated with SF performance. However, prove and avoid performance goal orientation are unrelated to SF performance.

The study has important theoretical and practical contributions. From a theoretical perspective, the authors examine the impact of goal orientation in dynamic decision-making to advance the knowledge on the role of goal orientation. Practically, the research demonstrates that learning-goal-oriented people perform better in stock and flow tasks, suggesting that goal orientation is an important trait for recruiting organizational members whose work involves SF decision-making tasks.

This study explores the impact of owner chief executive officers' (CEO) narcissism on the exporting small to medium-sized enterprises' (SMEs) decision-making on the international market expansion speed after their initial entry. Specifically, the authors use the mechanism of firms' international entrepreneurial orientation (IEO) to examine how owner CEO narcissism may influence SMEs' post-entry speed of internationalization (PSI), both directly and indirectly.

To test the hypotheses, the authors draw on data from a two-wave questionnaire and on archival export data from 291 Chinese exporting SMEs in three municipalities and 17 provinces from 2019 to 2020.

The results support the theoretical predictions that owner CEO narcissism shapes exporting SMEs' decisions on PSI, both directly and indirectly, through the mediation of firm-level IEO.

The study extends emerging research on the role of CEO narcissism in the upper echelons literature into the international marketing (IM) context. It also offers new insights into what drives exporting SMEs' IM decision-making from a psychological microfoundations perspective. Furthermore, the authors theoretically establish and empirically demonstrate the key role of a firm's IEO as a mediator to complement the existing literature's focus on the direct influence of CEO narcissism on firms' internationalization decisions.

Drawing on social identification theory, this research aims to explore an important mechanism – patients’ perceived empathy from a hospital, which is defined as caring, individualized attention provided by the hospital – that explains how service quality influences patients’ loyalty to the hospital.

This study adopts a structural equation modelling framework to estimate the mediation relationship between service quality and patient loyalty using two studies based on hospital employees and patients.

In Study 1, hospital staff survey data showed that service quality enhanced patients’ perceived empathy from the hospital. In Study 2, the authors confirmed and extended the findings of Study 1 by using patient survey data that suggested that patients’ empathy mediated the relationship between service quality and patients’ loyalty to the hospital.

The results of the two studies suggested that service quality increased patients’ empathy, which in turn improved patients’ loyalty to a hospital. The results extend the customer loyalty literature by exploring the critical antecedents and mechanisms of customer loyalty in the healthcare context. The studies interpret healthcare phenomena from the service aspect of fulfilling patients’ unique needs and providing a good hospital service experience. Moreover, the authors offer an insightful approach to explaining the service quality–patient loyalty linkage in the healthcare industry. Important theoretical and managerial contributions and suggestions for future research are discussed.

Racial and ethnic minorities utilize less healthcare than their similarly situated white counterparts in the United States, resulting in speculation that these actions may stem in part from less desire for care. In order to adequately understand the role of care-seeking for racial and ethnic disparities in healthcare, we must fully and systematically consider the complex set of social factors that influence healthcare seeking and use.

Data for this study come from a 2005 national survey of community-dwelling Medicare beneficiaries (N = 2,138). We examine racial and ethnic variation in intentions to seek care, grounding our analyses in the behavioral model of healthcare utilization. Our analysis consists of a series of nested multivariate logistic regression models that follow the sequencing of the behavioral model while including additional social factors.

We find that Latino, Black, and Native American older adults express greater preferences for seeking healthcare compared to whites. Worrying about one’s health, having skepticism toward doctors in general, and living in a small city rather than a Metropolitan Area, but not health need, socioeconomic status, or healthcare system characteristics, explain some of the racial and ethnic variation in care-seeking preferences. Overall, we show that even after comprehensively accounting for factors known to influence disparities in utilization, elderly racial and ethnic minorities express greater desire to seek care than whites.

We suggest that future research examine social factors such as unmeasured wealth differences, cultural frameworks, and role identities in healthcare interactions in order to understand differences in care-seeking and, importantly, the relationship between care-seeking and disparities in utilization.

This study represents a systematic analysis of the ways individual, social, and structural context may account for racial and ethnic differences in seeking medical care. We build on healthcare seeking literature by including more comprehensive measures of social relationships, healthcare and system-level characteristics, and exploring a wide variety of health beliefs and expectations. Further, our study investigates care seeking among multiple understudied racial and ethnic groups. We find that racial and ethnic minorities are more likely to say they would seek healthcare than whites, suggesting that guidelines promoting the elicitation and understanding of patient preferences in the context of the clinical interaction is an important step toward reducing utilization disparities. These findings also underscore the notion that health policy should go further to address the broader social factors relating to care-seeking in the first place.

The existence and form of interaction effects between service quality and satisfaction are still uncertain. The main purpose of this study is to examine whether satisfaction moderates the relationship between service quality and behavioral intentions.

A structured questionnaire was distributed to the out‐patients of 12 regional hospitals (the middle level) in Taiwan.

The findings show that the forms of moderators played by satisfaction are not always the same under different dimensions of service quality (i.e. reliability, responsiveness, assurance, and empathy). Satisfaction positively moderates the influence of reliability/empathy on behavioral intentions, but negatively moderates the relationships between responsiveness/assurance and behavioral intentions.

This study reveals the moderating role of satisfaction in the translation from service quality to behavioral intentions in health care services. Moreover, the natures of the moderating effects are not the same for different service quality dimensions.

The purpose of this systematic literature review is to understand what the phenomenon of uncaptured value is, identify where it is operationalized and explore how it can be transformed into value opportunities. Uncaptured value in sustainable business model innovation can lead to new value creation which, in turn, can promote practices of innovation, sustainability and inclusiveness.

A systematic literature review was conducted using eight databases to identify 47 articles using the phrase sustainable business model innovation along with the terms value uncaptured, value surplus, value absence, value missed and value destroyed.

The findings have identified that uncaptured value is reoccurring in sustainable business model innovation but is left as the missing link. This paper outlines the novelties of uncaptured value in sustainable business model innovation into a framework that can be used for future research, which is also discussed, concluded and suggested.

A framework for the continued research on uncaptured value in sustainable business model innovation with an emphasis on influences, operationalization and practices has been created to further the research frontier and capture the missing link.

This paper presents a case study examining the emissions impacts of a modal shift from on-road trucks to rail for goods movement through the Southern California ports region, one of the severest non-attainment areas in terms of national air quality standards. Recent completion of the Alameda Corridor, a 20-mile rail expressway that connects the Ports of Long Beach and Los Angeles with rail mainlines near downtown Los Angeles, provides substantial reserve capacity for port traffic to be diverted from the severely congested road network to the rail line. On-road vehicles emissions were estimated using California mobile-source emissions model, ‘EMFAC’ that incorporates a set of emissions factors for each vehicle type and an estimate of vehicle activity. These emissions were then compared with the emissions generated from trains increased to carry freight volume diverted from truck traffic. On the basis of year 2000 traffic level, it was estimated that for a 20 percent modal shift of port traffic, mobile-source emissions can be reduced up to 0.86 tons for nitrogen oxides and 16 kg for particulate matter per day. The analysis results indicate that encouraging the modal shift for port-related freight traffic should be an integral part of overall air quality improvement initiatives for the study area.

Last mile distribution is a crucial element of any supply chain network, and its complexity has challenged established practices and frameworks in the management literature. This is particularly evident when demand surges, as with recent lockdowns due to the COVID-19 pandemic and subsequent demand for home delivery services. Given the importance of this critical component, this study recommends horizontal collaboration as a possible solution for retailers seeking to improve the quality of their services.

This study investigates whether horizontal collaboration should be considered as an option for faster and greener distribution of groceries ordered online. Using the United Kingdom and Greek grocery markets that differ in terms of online grocery penetration, distribution network structure and delivery times, the study discusses how the effectiveness of pooling resources can create positive spillover effects for consumers, businesses and society.

Despite their differences, both markets indicate the need for horizontal collaboration in the highly topical issue of last mile delivery.

Taking a theoretical and practical view in cases of disruption and constant pressure in last mile distribution, horizontal collaboration supports retailers to coordinate routes, increase fleet and vehicle utilisation, reduce traffic and carbon emissions while improving customer satisfaction.

This paper aims to examine the potentials of using automated guided vehicle (AGV) technology in modular integrated construction (MiC) to realise logistics automation in module manufacturing and transport.

This paper adopts a scenario approach through three phases (i.e. scenario preparation, development and transfer), with six steps performed iteratively. The scenarios were systematically developed using a six-aspect socio-technical framework. Data were collected through a comprehensive literature review, site visits and interviews with relevant stakeholders and professionals. Implications regarding strength, weakness, opportunities and challenges and future research directions are provided.

The developed scenarios of “smart manufacturing” and “last-mile delivery” demonstrated how AGVs could be used to enhance efficiency and productivity in module manufacturing and transport. The synergies between AGVs and emerging information technologies should pave a good foundation for realising logistics automation in MiC. Future research should address: how to define the tasks of AGVs, how will the use of AGVs impact MiC practices, how to design AGV-integrated module manufacturing/transport systems and how to integrate people factors into the use of AGVs in MiC.

This paper reveals the socio-technical benefits and challenges of using AGVs in MiC.

This study extends the understanding of using logistics automation in MiC as emerging research directions, with the intention of directing scholars’ and practitioners’ interest into future exploration. It is the first attempt in its kind. Its findings could be extended to constitute a comprehensive development roadmap and prospects of automation in modular construction.