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This research is to identify how user-generated contents (UGC) affect a pre-trip decision on the booking of a guesthouse among international travelers. Online surveys are conducted among social network users who have booked an ecolodge in the past year. A snowball sampling is used, which posts a questionnaire link in social networks including Twitter, Facebook, and Instagram in addition to travel blogs. This study indicates a positive relationship between UGC and lodging selection. UGC is considered as a significant predictor of booking an environmentally friendly guesthouse. Among the UGCs, travelers' review is the most important one influencing guesthouse selection. Future studies may focus on other IT potentials such as “Gamification” or other types of content such as “Podcasts” or “live videos” to engage independent travelers.

The problems of urban distribution and the need to confront them particularly at a time of escalating petrol costs, is one of the most urgent issues facing retailers and food suppliers today. Hence the conference held recently, organised by the National Materials Handling Centre, and entitled ‘Urban distribution — strategy for the future’. One of the major preoccupations was the conflict of interests which impedes progress; environmental lobbies, central and local planning, EEC legislation. However, this paper by Alan Rushton buries these differences beneath his overriding concern with the practical rather than the ideological aspect of the subject. His point of reference is a study which looked into the problems of high street delivery, producing a scale of importance for the various difficulties encountered, and assessing the likely success of the solutions available.

There are many success stories during Covid-19 of academics providing expertly delivered online learning experiences for tertiary students locally and around the world. This paper aims to consider how success was achieved by academics who are not specifically educated with the knowledge and skills to convert a traditional delivery model into an online format and who conventionally spend years working on single projects before they come to fruition.

This study provides, as a possible explanation for success, the willingness of academics to embrace a tertiary sector rather than discipline-specific collaborative learning approach to their own informal education in online learning practices through communities of practice. Using learning theory, both analytical and reflective methodologies are adopted through an examination of an example of a successful academic community of practice.

Engaging with a multidisciplinary community of practice can be highly beneficial for academics not specifically educated with the knowledge and skills to convert a traditional delivery model into an online format. Communities of practice provide more than online educational skills; they foster a sense of togetherness and a safe environment to share concerns and challenges on both a professional and personal level.

The benefits of communities of practice for academics during a period of profound operational disruption have yet to be documented in the literature. Specifically, this study highlights the supportive environment provided by a community of practice by examining the successful large-scale transition from face-to-face learning to an online environment during a pandemic.

Africa has been identified as an area where higher mortality happens due to un-accessibility to health care, drugs and other health facilities. Nigeria, as one of the African countries, is not excluded from such difficulties. This study aims to examine the determinants of efficient last-mile delivery at selected health facilities and the Kaduna State Health Supplies Management Agency (KADSHMA).

The study sourced data from KADSHMA and the health facilities’ staff, with a total of 261 observations used. Likewise, the respondents were picked from warehouses of each health facility and KADSHMA. The data was analysed using the partial least square structural equation modelling analysis to estimate the relationship among the variables of the study.

The study’s findings revealed that all five variables of the study (i.e. determinants) were significantly affecting the efficient last-mile delivery. Four constructs (delivery cost [DC], delivery time [DT], mode of delivery [MD] and facilities technology [FT]) have shown a positive and significant association with efficient last-mile delivery, whereas one variable (product mix [PM]) indicated a negative and significant association with efficient last-mile delivery. The study concludes that DC, DT, MD, FT and PM played significant roles in efficient last-mile delivery.

The study provides that specific means of transportation should always be on standby to transport health supplies. Time schedules should always be prepared and adhered to when transporting health supplies to the facilities, and each facility should network with robust technology to ease communication in terms of order and order planning. Additionally, facilities should try as much as possible to reduce the varieties of products when ordering health supplies, as it will increase the efficiency of the delivery.

To the best of the authors’ knowledge, this study is the first of its kind that considered these five variables (DC, DT, MD, FT and PM) with impact on the last-mile delivery in one model, especially in the Nigerian case. This is a great contribution to knowledge, more importantly, to the last-mile delivery of the health sector. The result confirmed the importance of these determinants (DC, DT, FT and PM) of last-mile delivery efficiency in saving lives.

The purpose of this paper is to assess the performance of an online benchmarking tool developed for logistics service users and providers to provide alternative service option in Europe.

First, conduct desktop research including but not limited to academic literature reviews on benchmarking, performance measurement and previous and current examples of online benchmarking tools in order to determine issues in the field; second, report the development process and functionalities of a benchmarking tool; third, examine the benchmarking tool through structured interviews with the users of the tool; and finally, draw conclusion as to whether the tool is effective or needs changes to make it more effective.

Six Key Performance Indicators were identified: Transport cost, Transport time, Flexibility, Reliability, Quality, Sustainability. The functionality of an online transport chain benchmarking e‐tool is detailed. The evaluation of the tool found that it is a strategic decision‐making tool; cost is most often selected as the most important indicator; the majority would not use the tool for daily planning purposes. Future needs of development were identified, including using the tool for procurement decisions, and its utility in supporting corporate social responsibility and sustainability.

The benchmarking e‐tool is developed for the 27 EU countries plus Norway and Switzerland. Thus, the research findings are primarily applicable for these countries and may not be applicable for other countries.

The online tool has been used by multiple commercial companies actively involved, as a service provider or user, in the freight transport chain to plan their transport chains.

The tool makes the strategic planning of intermodal and co‐modal transport solutions easier and supports exploring sustainable freight transport choices in Europe.

The paper meets a research need to evaluate a newly‐developed online benchmarking tool, as well as detailing the e‐tool, and setting it within the practice and policy in this field.

The purpose of this paper is to examine the relationship between self-enhancement and helping behavior/intentions. Some people are more inclined than others to engage in helping behaviors. Determining what individual characteristics are related to helping behavior could have important implications for both marketers and non-profit organizations. Drawing on research on self-enhancement, this paper examines the relationship between the “above-average effect” (the tendency of individuals to rate themselves more favorably than they rate others) specifically on altruistic traits and helping behavior.

Data were collected through two surveys and analyzed with correlation analysis, path analysis and structural equation models.

In two studies, we find a positive relationship between interdependence and self-enhancement and a positive relationship between self-enhancement and helping behavior (volunteering in Study 1 and donation behavior in Study 2). We further show that self-enhancement mediates the effect of interdependence on helping. Personal importance of altruistic traits is shown to underlie these relationships.

By understanding the antecedents of helping behaviors, non-profit and charity organizations, social marketers and other advocates of pro-social behaviors can enhance the effectiveness of their appeals. Our findings provide insights for both messaging and targeting.

This study examines the relationship between self-enhancement and helping behavior. In so doing, it contributes to the self-enhancement literature by identifying the relationship between self-construal and self-enhancement. It also extends understanding of the relationship between these two constructs and helping behavior by revealing the mediating role of self-enhancement on helping behavior.

This chapter reports on a longitudinal quasi-experimental field study within an organizational design of a global consumer products manufacturer moving toward high-performance work systems (HPWSs) in North America by integrating business centers and self-directed work teams (SDWTs) coupled with 13 other action-levers within an integrated and bundled high-performance organizations (HPOs) re-design. The results of this organizational design effort are assessed using different types and levels of organizational outcomes (hard record data, behavioral, and attitudinal measures) along a 5-year temporal dimension punctuated by multiple time periods (baseline, during, and after). The organization, which was “built to change” (Lawler & Worley, 2006), in this research had already highly superior or “exemplar” (Collins, 2001) levels of organizational performance. Consequently, the real research question becomes: “What effect does state of the art organizational design and development have on an exemplar organization?” The study also calls into question the field's ability to truly assess exemplar organizations with existing measures of organizational change and development.