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This study aims to assess service quality in sport child camps among both participants and parents and its effects on satisfaction and behavioural intentions.

Data were collected from participants (n = 258) and parents (n = 226) of a sport child camp. A confirmatory factor analysis analysed the psychometric properties of the constructs, and a subsequent structural equation model examined the effects of service quality on satisfaction and behavioural intentions.

The results indicate a multi-dimensional construct of service quality that influences satisfaction and behavioural intentions differently among parents and participants. For participants, Service Failures and Recovery, Safety and Food influenced satisfaction, while Service Failures and Recovery and Fun influenced Behavioural Intentions. For parents, Management Commitment to Service Quality, Staff, Food and Contact with Physical Environmental influenced satisfaction, while Management Commitment to Service Quality and Staff influenced Behavioural intentions.

Both parents and participants' perceptions of service quality in sport child camps were captured and its effects on satisfaction and behavioural intentions. The study provides sport child camp managers with critical information about service delivery and its outcomes among the two key consumers (participants and parents).

This study offers new ideas to advance knowledge on sport child camps by capturing the perceptions of two key stakeholders and providing useful insights into how different attributes of service quality influence the levels of satisfaction and behavioural intentions among parents and participants.

This paper aims to identify, synthesise and critically examine the extant academic research on the relation between big data analytics (BDA), corporate accountability and non-financial disclosure (NFD) across several disciplines.

This paper uses a structured literature review methodology and applies “insight-critique-transformative redefinition” framework to interpret the findings, develop critique and formulate future research directions.

This paper identifies and critically examines 12 research themes across four macro categories. The insights presented in this paper indicate that the nature of the relationship between BDA and accountability depends on whether an organisation considers BDA as a value creation instrument or as a revenue generation source. This paper discusses how NFD can effectively increase corporate accountability for ethical, social and environmental consequences of BDA.

This paper presents the results of a structured literature review exploring the state-of-the-art of academic research on the relation between BDA, NFD and corporate accountability. This paper uses a systematic approach, to provide an exhaustive analysis of the phenomenon with rigorous and reproducible research criteria. This paper also presents a series of actionable insights of how corporate accountability for the use of big data and algorithmic decision-making can be enhanced.

This paper discusses how NFD can reduce negative social and environmental impact stemming from the corporate use of BDA.

To the best of the authors’ knowledge, this paper is the first one to provide a comprehensive synthesis of academic literature, identify research gaps and outline a prospective research agenda on the implications of big data technologies for NFD and corporate accountability along social, environmental and ethical dimensions.

The purpose of this paper is to develop a benchmarking framework for assessing the performance of the distribution models adopted by the local branches of National Health Services (NHSs) for delivering health technologies to patients at a local level, and to derive prescriptions for enhancing design and optimal management of the distribution models.

The authors focussed the study on the distribution of absorbent devices for incontinence, adopting the analytic hierarchy process as a tool for developing the benchmarking framework. The authors applied the framework to the context of the Italian NHS with respect to the Lombard Local Health Authorities, assessing their performance in terms of operational efficiency and service quality.

The developed framework constitutes a novel contribution, and it allows for generating prescriptions. Through its application to the context studied the authors found that a “one-size-fits-all” distribution model cannot be proposed, as regards both efficiency and effectiveness, since process standardization does not provide benefits or savings in all contexts. Rather, a total landed cost approach in the evaluation of the distribution practices must be adopted.

This paper offers to managers and decision makers an innovative approach to the design of distribution models for health technologies. It provides policy makers with prescriptions to develop regulations fostering a comprehensive view of the factors for an optimal health technologies distribution at a local level.

Given the dearth of scientific publications focussed on the distribution at the local level of health technologies, this paper significantly contributes to the existing body of knowledge and it offers an innovative framework which can be proficiently replicated in manifold contexts.

This study compared different types of full-time caregiver (e.g., children, older adults, COVID-19 patients) and subgroups (e.g., disability, race/ethnicity, sexual orientation) in the United States during the COVID-19 pandemic for potentially meaningful distinctions.

Data from the 9,854 full-time caregivers identified in Phase 3.2 (July 21–October 11, 2021) of the US Census Household Pulse Survey (HPS) were analyzed in this study using multinomial logistic regression to examine relationships between caregiver types, marginalized subgroups, generation, and vaccination status.

The prevalence of caregiving was low, but the type of full-time caregiving performed varied by demographic group (i.e., disability, race/ethnicity, sexual orientation, gender, generation, and vaccination status). The relative risk of being a COVID-19 caregiver remained significant for being a member of each of the marginalized groups examined after all adjustments.

To date, the HPS has not been analyzed to predict the type of full-time informal caregiving performed during the COVID-19 pandemic or their characteristics. Research limitations of this analysis include the cross-sectional, experimental dataset employed, as well as some variable measurement issues.

Prior informal caregiver research has often focused on the experiences of those caring for older adults or children with special healthcare needs. It may be instructive to learn whether and how informal caregivers excluded from paid employment during infectious disease outbreaks vary in meaningful ways from those engaged in other full-time caregiving. Because COVID-19 magnified equity concerns, examining demographic differences may also facilitate customization of pathways to post-caregiving workforce integration.

This study aims to assess the online presence of three Portuguese low-density territories and analyze the communication strategies employed by public and private entities within each municipality. The alignment between public and private entities within each municipality is also examined as a potential factor that could impact the effectiveness of digital communication strategies.

A qualitative methodology that employed content analysis and interviews to gather data from selected public and private entities in each of the municipalities under study was used.

Despite the widespread availability of digital communication tools, the municipalities under study are yet to fully exploit their potential to promote and publicize their offerings. This could be attributed to several factors such as a lack of knowledge and/or resources and a defective strategic approach to digital communication.

The major obstacle in maximizing the potential of digital communication tools in low-density destinations was not solely a result of restricted access. Rather, it was largely due to insufficient knowledge and resources required for their effective utilization, coupled with a lack of aligned vision among various stakeholders.

The competitive landscape in which tourist actors operate has transformed significantly because of the widespread adoption of digital communication led by social networks. However, studies exploring digital communication in low-density territories are still scarce. This study adds new insights into the main factors that hinder the efficient use of digital communication in these regions.

This teaching case focuses on the field of marketing, particularly, the situation of building a global brand as small and medium-sized enterprises (SME) internationalizing from an emerging market.

It is recommended for postgraduate and post-experience students, for example, in MBA programmes and executive education courses.

This teaching case focuses on the field of marketing, particularly, the situation of building a global brand as SME internationalizing from an emerging market. It is recommended for postgraduate and post-experience students, for example, in MBA programmes and executive education courses. BOS Brands provides an interesting case on the internationalisation experience of a Born Global firm, particularly from an emerging market context. This medium-sized South African business develops, distributes and markets Rooibos-based beverages in Southern Africa and Europe, with eyes on a broader global presence. The case provides insights into the strategic decisions required to successfully take a medium-sized business into competitive foreign markets without the capital and support enjoyed by many larger multinational corporations. Among other issues, BOS Brands provides fertile ground to explore the selection of target country and entry mode, overcoming cultural and physical distance, opportunity recognition and the roles of networks and innovation.

The expected learning outcomes are to: analyse the decision-making process of the internationalising SME in terms of internationalisation factors, timing and phases and evaluation of potential target countries and entry mode options and launch marketing approach; understand the complexities of marketing in a foreign cultural and business context (including cultural and physical distance); and develop alternative marketing strategies for an entrepreneurial SME to grow internationally given limited resources.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 8: Marketing.

The purpose of this paper is to contribute significantly to the empirical investigations related to the impact of sustainable supply chain management (SSCM) practices on performance in Chinese firms. The paper also aims to theorize and empirically assess a comprehensive SSCM practices and performance model. The model incorporates two aspects of SSCM practices: internal and external management, and analyses the impact on corporate sustainability performance from all dimensions.

This paper develops a conceptual model to investigate the impact of SSCM practices on the firm performance. Based on the data of 172 Chinese firms, this paper analyzes the impact of SSCM practices on firm economic performance, environmental performance, and social performance for each dimension by using PLS structural equation methods.

The results show that firm’s internal SSCM practices have a positive impact on firm’s environmental performance and social performance. Moreover, environmental performance and social performance are positively related to economic performance.

A comprehensive SSCM practices performance model is proposed and empirically assessed for Chinese firms. The results of this investigation support the hypotheses that SSCM practices are environmentally and socially necessary and are favorable for business. A series of approach and implications of SSCM practices is recommended.

Despite the rapid adoption of smartphones among digital fashion consumers, their attitude to retailers' mobile apps and websites is one of increasing dissatisfaction. This suggests that understanding how mobile consumers use smartphones for fashion shopping is important in developing digital shopping platforms that fulfil consumer' expectations.

For this research, mobile eye-tracking technology was employed in order to develop unique shopping journeys for 30 consumers, using fashion retailers' websites on smartphones, documenting their differences and similarities in browsing and purchasing behaviour.

Based on scan path visualisations and observed shopping experiences, three prominent mobile shopping journeys and shopper types were identified: “directed by retailer's website”, “efficient self-selected journey” and “challenging shopper”. These prominent behaviour patterns were used to characterise mixed cluster behaviours; three distinct mixed clusters were identified, namely, “extended self-selected journey”, “challenging shoppers directed by retailer's website” and “focused challenging shopper”.

This research argues that mobile consumers can be segmented based on their activities and behaviours on the mobile website. Knowing the prominent shopping behaviour types any other complex behaviour patterns can be identified, analysed and described.

The findings of this research can be used in developing personalised shopping experiences on smartphones by feeding these shopper types into retailers' digital marketing strategy and artificial intelligence (AI) systems.

This paper contributes to consumer behaviour literature by proposing a novel mobile consumer segmentation approach based on detailed shopping journey analysis using mobile eye-tracking technology.

This study aims to highlight the system-wide potential relationships between forms of human bias, selected Lean tools and types of waste in a manufacturing process.

A longitudinal single-site ethnographic case study using digital processing to make a material receiving process Lean was adopted. An inherent knowledge process with internal stakeholders in a stimulated situation alongside process requirements was performed to achieve quality data collection. The results of the narrative analysis and process observation, combined with a literature review identified widely used Lean tools, wastes and biases that produced a model for the relationships.

The study established the relationships between bias, Lean tools and wastes which enabled 97.6% error reduction, improved on-time accounting and eliminated three working hours per day. These savings resulted in seven employees being redeployed to new areas with delivery time for products reduced by seven days.

The single site case study with a supporting literature survey underpinning the model would benefit from testing the model in application to different industries and locations.

Application of the model can identify potential relationships between a group of human biases, 25 Lean tools and 10 types of wastes in Lean manufacturing processes that support decision makers and line managers in productivity improvement. The model can be used to identify potential relationships between forms of human biases, Lean tools and types of wastes in Lean manufacturing processes and take suitable remedial actions. The influence of biases and the model could be used as a basis to counter implementation barriers and reduce system-wide wastes.

To the best of the authors’ knowledge, this is the first study that connects the cognitive perspectives of Lean business processes with waste production and human biases. As part of the process, a relationship model is derived.