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In the rapidly growing e-grocery segment, unattended delivery is an emerging practice with the potential to offer a superior delivery experience. The purpose of this study is to contribute to the body of knowledge for unattended grocery delivery services by empirically identifying and describing the forms and determinants of customer expectations.

A multiple case study of potential early adopters was conducted to explore customer expectations of unattended grocery delivery services. Empirical data collected from direct observations and semi-structured interviews with ten Swedish households were coded and put through a single-case as well as a cross-case analysis revealing emerging patterns from which propositions were formed.

The iteration of theory and data in the case study resulted in a conceptual model of service expectations and determinants, containing six propositions. The study reveals a clear pattern that consumers expect to save time, gain flexibility and benefit from the ease of use of the service, while they predict sufficient security. Moreover, consumers’ desire open access features from retailers and service providers, integrated product returns service and nondescript hardware designs. The findings suggest that these service expectations are determined by personal needs, technology literacy and situational factors. The identified personal needs are stress reduction, limiting social interaction and increasing spare time.

To support further theory development, this study presents six propositions for the types, forms and determinants of customer expectations of unattended grocery delivery.

This study provides managers with up-to-date insights into customer expectations and offers guidance in designing and developing unattended grocery delivery services.

This study contains the first in-depth analysis of customer expectations of unattended grocery delivery services, which are increasingly used for last mile e-grocery delivery.

Since the outbreak of the Covid-19 pandemic, many restaurants and catering businesses have introduced or improved online food ordering and delivery services (OFODSs). This study aims to identify service quality expectations about OFODSs, to examine their content and to suggest management strategies to meet these expectations.

Adopting a qualitative method, four focus groups were conducted amongst Italian users of OFODSs.

The results reveal three dimensions of expectations, each comprising two categories that can be set along a continuum: (1) basicness of expectations (ranging from implicit to explicit), (2) accuracy of expectations (ranging from fuzzy to precise) and (3) attainability of expectations (ranging from realistic to unrealistic). Content may refer to technical, social, economic, legal and technological aspects. To meet customer expectations, the following strategies are suggested: customer reassurance, flexibility, continuous improvement, customer education, adaptation to customers' requirements and monitoring of exceptions.

This study provides specific activities in which restaurants and catering businesses could invest to enact the management strategies that emerged from the analysis.

This paper proposes a new classification of expectations and framework for improving OFODS quality by managing customer expectations.

The purpose of this article was to provide an outline of the citation practices of “Evolving to a new dominant logic for marketing” by Vargo and Lusch (2004) to identify and discuss the most prominent research topics in which citations were used and to suggest future research based on the results of the analysis.

The authors used a comprehensive framework of citation practices based on iterations of previous literature to analyze the relevant literature, which they identified by accessing, systematically and rigorously, every available contribution matching a set of criteria. The authors then categorized these contributions and highlighted the main topics of research interest in each category.

The findings identify some of the factors in the continuous development of SDL, the way this new marketing logic permeated the scientific debate, the infusion of Vargo and Lusch (2004) into several contributions framed in the new logic or justified through it, and a general perception of a default reference. Additionally, the findings highlight the main topics of research interest in each category.

The analysis enabled the detection of the original paper's influence through advances in service studies, pollination into other fields of research and continuous scientific debate. The authors have highlighted several avenues for research and proposed future research directions.

This research analyzed the effects of the spread of the SDL cornerstone article and emphasized the advantage of using an in-depth approach to the analysis of studies through a framework applied to more than 4,600 studies.

This study aims to describe survivors of stroke circumstances, issues with providing care for survivors of stroke and services expected by caregivers and survivors of stroke.

A qualitative research design was conducted in Singburi Province. Data collection methods included in-depth interviews, focus groups and participatory observations. Semi-structured in-depth interview guides, quality-of-life scale and depression scale were used to collect data from survivors of stroke, their caregivers, health personnel, local governors and village health volunteers. Naturalistic research tradition was used for qualitative data analysis and descriptive statistics for quantitative data analysis.

The majority of survivors of stroke had hemiplegic limb and severe deficits in their activities of daily living. Caregivers were family members, and they often developed depression. Issues with providing care to stroke survivors included lack of knowledge about stroke and home care, inadequacy and discontinuity of care and the shortage of stroke care personnel in the community. A stakeholder's expected stroke services included the provision of effective continuing care, community participation in care and enhancing the village health volunteer's capacity.

This study illustrated the stroke service systems in rural Thai communities. The study's findings could be applied when planning future research using community participation to test a model of care for stroke survivors to promote better outcomes and be responsive to the needs of stroke survivors, especially those who are disabled.

The purpose of this study is to continue to forecast trends in the hospitality and travel industry with practical implications.

This study is the updated version of our previous list of trends. The new edition updates the previous report on the implications for the hospitality industry of major trends now shaping the future. We focus mainly on energy, environmental and labor force and work trends and discuss sub-trends under each trend. We then implicate how the trends affect the Hospitality and Travel industry.

We shared implications under each sub-trends.

The value of this article is to analyze the impact of the environment on the Hospitality and Travel industry from a macro perspective. For each trend, we implicate an estimate for future trends. We hope this article sheds light on the prediction of the Hospitality and Travel industry.

This paper aims to investigate actor roles and public–private interactions in networks. Role dynamics are explored in two settings: the current development network and the future implementation network to which actors are transitioning.

The paper builds on the industrial marketing and purchasing approach to business markets and uses a qualitative methodology. A case study of a network developing geofencing applications in the context of sustainable transport was used. The main source of data was interviews with 26 respondents from public and private organizations.

Roles in development and implementation of geofencing are identified, where private and public actors may take on one or several roles in the developing setting. When transitioning to the implementation setting, the expectations of public actors vary and there is ambiguity over their roles, which range from active to inactive. This detailed empirical case study shows the complexity of multi-actor involvement when developing digital technology for the transport system.

The study highlights the transition from firm-centric innovation to network-centric innovation and its implications on actor roles.

Organizations participating in public–private innovation networks need to be aware of the multiple roles public organizations play and the complexities they face.

The paper explores role dynamics within and between the development and implementation settings of geofencing. Within the current development setting, roles are identified at different organizational levels with limited change in role dynamics. When transitioning to a new setting, actors’ role dynamics may range from “limited” to “path-breaking.” In future settings, actors enter and exit networks and their roles may change dramatically.

This study aims to use a comparative analysis to examine the channel of deferring cash commitments, which can be seen as a strategic solution to mitigate the impact of COVID-19 on Moldova's service sector.

This paper uses the Oaxaca–Blinder decomposition analysis. The World Bank's post-COVID-19 survey is used. The methodology takes into account heterogeneity among firms.

The results of the Oaxaca–Blinder decomposition analysis show that service firms use deferred cash commitments more than industrial firms, corporate governance and their pandemic-related strategies are also effective in the post-COVID Moldovan economy. The results are robust to different modeling alternatives.

COVID-19 can be considered a key source of uncertainty for firms, especially those operating in economies where financial frictions occasionally occur in a transition economy. Therefore, this study can shed new light on the impact of COVID-19 on financial strategies in a transition economy.

This study aims to explore the factors responsible for influencing the service quality (SQ) of department stores in Albaha region, Saudi Arabia. This study also examines the level of influence on SQ.

Primary data was collected from 600 customers out of which 508 questionnaires were included for analysis using retail service quality scale (RSQS). Quota sampling technique was adapted for data collection from different cities of Albaha province. SPSS software was used to analyse the data using multiple linear regression analysis.

Three dimensions have a positive significant impact on SQ (physical aspect, problem-solving and reliability), whereas one dimension (personal interactions) has a negative significant influence and one dimension (policy) is found to be a highly insignificant factor.

Further investigation is required for the negative but significant behaviour of personal interaction and insignificant impact of policy as factors.

This study outlines the dimensions having positive and significant influence of SQ on the department stores.

This study suggests socially and culturally acceptable methods to improve SQ in Albaha.

The research suggests that personal interaction has a negative influence on SQ; this deviation of results from the literature may be due to the cultural variances in KSA which needs to be further investigated, as customers in Albaha are not willing to converse and interact with the seller.

This paper explores how digitalization affects the academic research publication process by taking into account the perspective of management scholars. It provides an overview of the digital professional services dedicated to academic research, and investigates academics' awareness of, the impact on the publication process of, and scholars' expectations regarding digital services and software.

This explorative study adopted a qualitative approach by performing direct observations of websites regarding digital professional research services and in-depth interviews with national and international management scholars.

The multiple digital professional services dedicated to academic research enable authors to develop a scientific paper independently or with the support of professionals. The scholars' awareness regarding the digital services and software was limited, because of both the plethora of options on the market and the frequent use of the same digital tools over time. In impact terms, these tools enable scholars to improve research quality and to increase productivity. However, the negative effects led scholars to express different expectations about how they can be improved and what difficulties should be overcome to favor the publication process.

The results of this study provide suggestions both for scholars who engage in academic research and digital services and software providers.

To the best of the authors' knowledge, this is the first study to examine the ongoing development of digitalization in support of the research publication process from the perspective of academics.

AI-based robo-advisory (RA) represents a FinTech application that is already replacing retail investment advisors. In private banking (PB), clients also increasingly expect service provision across different digital channels, but with a higher degree of personalization. Hence, the present study investigates the impact of intelligent RA on the PB investment advisory process to derive both process (re)design knowledge and strategic guidance for artificial intelligence (AI) usage for PB investment advisory.

The present study applies an AI process impact analysis approach by decomposing AI-based RA into three AI application types: conversational agent, customer segmentation and predictive analytics. The analysis results along a reference PB investment advisory process reveal sub-process transformations which are applied for process redesign integrating AI.

The study results imply that AI systems (1) enable seamless client journeys, (2) increase advisor flexibility, (3) support the client–advisor relationship by applying an omnichannel approach and (4) demand advisor skills to be augmented with technical and statistical knowledge.

The research study contributes (1) an AI process impact analysis approach, (2) derives process (re)design knowledge for AI deployment and (3) develops strategic guidance for AI usage in PB investment advisory.