Search results

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.

The current study aims to examine the impact of two black swan events on the performance of six stock markets in Gulf Cooperation Council (GCC) economies (Abu Dhabi, Bahrain, Dubai, Oman, Qatar and Saudi Arabia). The two selected black swan events are the US Mortgage and credit crisis (Global Financial Crisis of 2008) and the COVID-19 pandemic.

The performance of all the six stock markets are represented by their return and price volatility behavior, which has been measured by applying ARCH/GARCH model. The comparative analysis is done by employing mean difference models. The data is collected from Bloomberg on a daily frequency.

The response of two black swan events on the GCC stock markets has been heterogenous in nature. During the financial crisis, the impact was heavily felt on most of the stock markets in the GCC countries. It is revealed that the financial crisis had a negative significant impact on four of the six countries. Whereas during the COVID-19 crisis, it is revealed that there is no significant impact on four of the six selected stock markets. The positive significant impact is felt on two stock markets, namely, the Abu Dhabi stock market and the Saudi stock market.

The present investigation attempts to fill the gap in the literature on the intended topic because it is evident from the literature on the chosen subject that no study has been undertaken to evaluate and contrast the impact of the GFC crisis and COVID-19 on the GCC stock markets.

This study aims to explore barriers and facilitators for knowledge transfer and learning processes by examining a cross-departmental collaborative project in the municipal organization. It is based on a R&D collaboration between University West and a Swedish municipality.

To explore the barriers and facilitators, the data collection was made through observation of the project implementation process, as well as 20 interviews with public servants and external actors. To conduct a systematic qualitative-oriented content analysis, the article constructs and applies a theoretical analytical framework consisting of different factors influencing knowledge transfer and learning processes within a municipal organizational setting.

This study explores the facilitators and barriers to knowledge transfer and learning processes, specifically focusing on strategic communication, individual roles, common goals, time pressure, group learning, trust and relationships and absorptive capability. Lack of communication affected the group learning process, while the close relation between time pressure, group learning and trust in colleagues is also pointed out as crucial areas. Trust developed through dialogue efforts helped overcome project fatigue. Coaching with a human rights-based approach improved organizational absorptive capabilities.

The study gives important insights into organizational learning within a municipality in Sweden for the successful implementation of collaborative projects. Knowledge must be transferred for the organization to learn to develop and tackle future challenges and its complex responsibilities. The theoretical analytical framework provided in this article has proven to be effective and is therefore transferable to other organizations in both the public and private sectors.

The purpose of this paper is to examine and to categorize the tendencies of blockchain-based applications in the shipping industry and supply chain as well as the interrelations between them, including possible correlation of found categories with theoretical background and existing concepts. This study also explores whether blockchain can be adopted into existing maritime shipping and port document workflow management.

The current study builds a conceptual framework through a systematic project review carried along with scientific and grey literature, published in journals and conference proceedings during the past decade and giving information or proposals on an issue.

The results showed that reviewed projects can be compiled into three main conceptual areas: document workflow management, financial processes and device connectivity. However, having clear interlinkages, none of the reviewed projects consider all three areas at once. Concepts associated with maritime document workflow received broad support among the reviewed projects. In addition, reviewed projects unintentionally follow the similar goals that were laid down within port management scientific projects before the introduction of blockchain technology.

This study contributes to research by revealing a consistent framework for understanding the blockchain applications within maritime port environment, a less-studied part of blockchain implementation in the supply chain field. Moreover, this work is the first to find out conceptual intersections and correlations between existing projects, mapping current tendencies and potentially increasing knowledge about the field.

This paper aims to analyse the most significant disruptive events affecting tourism during the twenty-first century, particularly the 2020 COVID-19 pandemic.

Based on a thorough literature review, this study takes a complexity science approach to the field of tourism to shed light on the challenges of disruptive events in tourism systems.

Focusing on the COVID-19 pandemic, in particular, this study acknowledges that disruptive events are complex and have tremendous impacts on several areas of society: people’s psychological well-being and the health-care system, as well as social, economic, cultural, technological, environmental and political dimensions. Whether they occur alone or interact, these dimensions add varying levels of complexity to the tourism system. In response, the tourism industry can adopt a resilience model as a crisis management tool to address disruptive events affecting this field.

As this paper is mainly theoretical, future empirical research will contribute to refining the findings and testing the usefulness of the proposed model.

The paper looks at examples of successful and unsuccessful of COVID-19 outbreak management in various countries to analyse issues such as crisis management, resilience and tools for coping with the impacts of disruptive events.

This theoretical paper proposes a first taxonomy of the multidimensional impacts of twenty-first-century disruptive events on tourism and dissects the phases of crisis management, with a corresponding conceptual model.

本文分析了21世纪影响旅游业的最为重要的破坏性事件, 尤其关注2020年新型冠状病毒肺炎大流行

本文将复杂性科学方法应用于旅游领域, 通过全面的文献综述, 揭示破坏性事件给旅游系统带来的挑战。

本文承认破坏性事件, 特别是新型冠状病毒肺炎大流行, 复杂且影响巨大, 涉及心理、医疗、社会、经济、文化、技术、环境和政治等诸多方面。这些影响不管是单一的还是相互作用的, 都在不同程度上增加了旅游系统的复杂性。旅游业可以将弹性模型作为危机管理工具, 以应对其领域内的破坏性事件。

本文首次提出了21世纪破坏性事件对旅游业的多维影响的分类法, 并对危机管理的各个阶段进行了剖析。本文还提出了一个综合模型。

由于本文以理论为主, 未来的实证研究将有助于完善研究结果和验证所提出模型的实用性。

本文着眼于不同国家新冠疫情管理的成功和失败案例, 分析危机管理、复原力以及应对破坏性事件影响的方法等问题。

Identificar los eventos disruptivos mundiales más importantes que han afectado el turismo en el siglo XXI poniendo especial atención en la pandemia causada por el COVID-19 en el 2020.

Mediante un enfoque a las ciencias de la complejidad aplicado al turismo y una exhaustiva revisión bibliográfica, este artículo esclarece el reto que significa un evento disruptivo en el turismo.

Los eventos disruptivos, en particular el COVID-19, son complejos y generan un alto impacto tanto en el aspecto psicológico, sanitario, social, económico, cultural, tecnológico, medioambiental y político. En su interacción, todos ellos añaden un diferente grado de complejidad al sistema del turismo. Este artículo propone adoptar un modelo de resiliencia como herramienta de gestión de crisis para afrontar eventos disruptivos en el campo del turismo.

Proponer una primera clasificación de los impactos multidimensionales de los eventos disruptivos del siglo XXI en el turismo y un desglose de las fases de gestión de crisis, como así también proponer un modelo integrador de ambos aspectos propios de un evento disruptivo.

Debido al carácter teórico de este artículo, el modelo integrador sugerido representa un marco prometedor para futuras investigaciones en el plano empírico.

Este artículo presta atención a aquellos países que han gestionado la pandemia de forma exitosa o no, para así tener una mejor noción de gestión de crisis y herramientas para hacer frente a futuros eventos disruptivos.

The concept of trust suffers from conceptual confusion. The current perspectives on trust within the B2B marketing domain could be visualised as a big box of which the borders are defined by the disciplines marketing, economics, psychology and sociology. The purpose of this paper is to enlarge the box by introducing neuroscientific insights on trust to the B2B marketing domain.

By a literature study on neuroscientific insights on trust, this paper examines how neuroscience can help to solve existing problems within trust research and how it can address problems that otherwise might not be considered.

The neural coordinates of trust not only show that trust entails cognitive and affective elements, but also that these elements are so intertwined that they cannot be completely separated. What can and should be separated are the concepts of trust and distrust: the neural coordinates of trust are clearly different from the neural coordinates of distrust. Furthermore, there are personal differences in the ease of trusting others, which are not only caused by previous experiences but also by differences in resting patterns of frontal electroencephalographic asymmetry and by differences in hormonal state.

Specifically, the neural difference between trust and distrust might shape the future research agenda for trust research within industrial marketing. It is likely that the process of distrust goes quick, whereas trust comes more slow. This is reflected in the dual processing theory, which is seen as a paradigm shift in the psychology of reasoning.

New perspectives and directions for trust research are presented. The distinction between trust and distrust is connected to approach- and avoidance-motivated behaviour, which is highly relevant for deepening the studies on trust within industrial marketing.

This paper aims to explore the influence of the COVID-19 outbreak and the Government's disease control measures on the stock returns and liquidity of Vietnam-listed companies in the financial services sector.

The authors have conducted a panel data regression analysis using data from 50 banking, insurance and finance companies listed in Vietnam's two biggest stock exchanges (HNX and HOSE) within the period from January 30th, 2020 to May 15th, 2021.

The regression results indicate that the daily growth in the total number of confirmed cases caused by COVID-19 has significant negative effects on the stock market returns and liquidity. Nevertheless, the Government's imposition of lockdown yields significant and positive outcomes on stock performance. In addition, the study reveals remarkable differences in returns of large-cap and small-cap stocks under the impact of the COVID-19 pandemic.

The study indicates government and regulators should act more actively to limit the outbreak of the virus, improve investor confidence as well to support the financial services industry and deal with the outbreak of the pandemic later.

This is the first study to explore the influence of the COVID-19 outbreak and the Government's disease control measures on the stock returns and liquidity of Vietnam-listed companies in the financial services industry.

This paper aims to identify the antecedents and postcedents of customer satisfaction, including utilitarian, social and emotional factors, in a fair trade (FT) coffee consumption context.

This paper is based on a broad range of 177 consumers of FT coffee in Spain, the data analysis used structural equation modeling (SEM) with SPSS/AMOS 26.0 software.

This paper supports that both customer social value and quality affect perceived value (PV). PV in turn has effects on customer satisfaction and the latter influences loyalty. Conversely, both customer emotional value and customer expectations were not confirmed as antecedents of PV.

The consumer satisfaction analysis conducted differs substantially from those of conventionally traded coffee, as social and emotional factors were considered along with utilitarian factors.

Practitioners, retailers and relevant institutions should design strategies to manage efficiently channel efforts to improve the consumer satisfaction and its loyalty.

This paper contributes to a substantial improvement in the understanding of consumer satisfaction and its consequences, in FT coffee consumption contexts. A new integrated theoretical model on customer satisfaction has been provided, which includes social and emotional perception factors, along with cognitive perception (quality and expectations) factors.

研究旨在確認在公平貿易咖啡消費的課題上，顧客滿意的誘因及其後因，這包括實用的因素，社會的因素和情感的因素。

研究之數據廣泛來自在西班牙177名公平貿易咖啡消費者; 分析則以結構方程模型，並以SPSS Amos 26軟件來進行。

研究結果證實，顧客社會價值和質量是會影響認知價值的;認知價值繼而影響顧客滿意度，而顧客滿意度又進而影響他們的忠誠。相反的，顧客情緒價值或他們的期望、均未能證實是認知價值的先決條件。

本研究所進行的消費者滿意度分析，與其它以傳統方法銷售的咖啡之相關研究有很大的分別，這是因為本研究除了考慮實用的因素外，還納入了社會因素和情感因素。

從業人員、零售商和有關的機構應制訂適切的策略，以能有效地管理各個管道，來提升消費者的滿意度和忠誠。

本研究的貢獻在於它幫助我們在公平貿易咖啡消費的課題上，對消費者滿意及其效果有更深入的認識。研究亦提供了一個探討顧客滿意度的嶄新、綜合的理論模型，而這個理論模型，除了涵蓋知覺認知 (質量和期望) 的因素外，還納入了社會的和情感的知覺因素。

This paper aims to address one of the fundamental issues of gathering existing knowledge/solutions from projects for re-use in other projects, that is, contextual elements that are integrated with the knowledge. Contextual elements that are associated/integrated with knowledge do not often taken into consideration adequately during knowledge transfer. Hence, this can lead to undesirable consequences, for example, unnecessary use of time and resources. This paper will increase the awareness of (and lead to finding appropriate ways to) dealing adequately with contextual elements in knowledge transferring processes.

Qualitative method: narrative literature study.

This paper provides a conceptual understanding of dealing with contextual elements in knowledge transferring processes from the sense making perspective.

This paper, which is connected to a research and development (R&D) project that has recently started, uses this paper to emphasize the importance of addressing contextual elements adequately in knowledge transferring processes. This emphasis is important as this R&D project deals with, among other things, collecting lessons learned on energy efficient solutions from building and renovation projects for re-use in other renovation projects.

This paper will contribute to replicate knowledge / lessons learned effectively and to increase the application of energy efficient solutions in building renovation projects.

This paper attempts to point out and increase our understanding on how acquisition of knowledge at an earlier point of time can influence transferring of that knowledge at a later point of time. In general, there is inadequate focus and awareness on this issue in construction projects.