Search results

The main objective of the present research is to depict the experience of challenges and opportunities for virtual accreditation peer review team (PRT) visits. COVID-19 has changed higher education delivery. Higher education accreditation and PRT visits have become online. The lockdown forced schools and accreditation agencies to cancel or change visit arrangements. PRT visits could not be stopped during the COVID-19 pandemic, but accrediting agencies needed to review programme quality to meet standards.

Eight former and present accreditation specialists were interviewed. The researchers described the challenges and opportunities in virtual accreditation visits (VAV). Also, the authors have explained their own experience of coordinating on-site and virtual accreditation visits. Using the NVIVO tool, the experts' replies are transcribed and categorised as challenges and opportunities.

The findings will help the professionals and academicians better prepare for, plan and execute virtual PRT visits for accreditation agencies and schools. The results revealed that the evaluation and accreditation outcomes are similar for virtual and physical accreditation visits. Finally, the findings suggest that accreditation agencies and schools need to adopt a hybrid site visit model for accreditation visits.

The school can prepare better for virtual PRT visits by identifying the challenges and opportunities ahead of time. The finding may motivate authorities to schedule meetings in different time zones, prepare document evidence rooms, save money, time, and travel time, and benefit the environment by eliminating paper printing, fuel use, and paper printing.

This research is unique and noteworthy since accreditation organisations, PRT members and schools are uncertain about virtual visits. This may be the first paper in this domain to assist accreditation organisations and institutions review accreditation visits online or in hybrid mode.

Business Aviation (BA) is an important segment of nonscheduled air transport, providing personalized solutions for business trips by air. Unlike scheduled air transport or holiday charters, BA has hardly been dealt with in the academic literature. This chapter gives insight into the structure and key economic effects of the European (EU28 + EFTA) BA sector. Hereby, we differentiate between the sector’s macroeconomic footprint, in terms of jobs or gross value added (GVA), and the generation of business efficiencies and connectivity benefits for the users. Based on our own data collection and input-output analyses using data from the World Input-Output Database and Eurostat, we find that the effect of BA over the EU28 GVA is almost 0.2%. Also, some 374,000 European jobs are directly or indirectly dependent on the sector’s activities, which is more than the total number of jobs in, e.g., Cyprus. More than half of these jobs stem from the operation of business aircraft and from closely related operational services like maintenance (“MRO”) and handling (“FBO”), while the remaining employment occurs in the production of business aircraft and parts. Comparing actual European BA flights against their fastest commercial travel alternatives, key efficiencies came to light, such as average travel time savings of 127 minutes per flight, annual savings of about € 15 million in overnight hotel costs and an average 150% increase in productive work time for the travelers. Furthermore, we find that BA can significantly improve connectivity, as it serves about 25,000 city pairs not connected by nonstop scheduled air services.

In this study, a mode choice model explicitly considering travel time reliability is developed. This model quantifies travelers' attitudes towards travel time variability as well as average travel time. Data were collected from the morning commuters who have two or three alternative modes including some public transportation and private vehicles. The survey period includes both a normal period where all the transportation modes were available and an abnormal period where the main major public transportation service was closed. The model is applied to practical commuters' decision making, and one of the findings in the mode choice model is that they pay relatively large attention to the travel time variability. In this model, travel time variability is dealt with as the possibilities that the commuters arrive before or after their job starting time separately. The best-fit model indicates that the commuters pay more attention to early arrival and less to late arrival in the normal period. In the abnormal period, however, their attention shifts drastically to late arrival. This suggests that the commuters behave optimistically in the normal period and pessimistically in the abnormal period.

The purpose of this paper is twofold: first, to develop a conceptual model using the push-pull-mooring (PPM) framework to understand the switching behavior of small- and medium-size enterprises (SMEs) of batik from adopting traditional marketing to e-commerce; and, second, to test whether the PPM variables prevent or lead to the switching behavior of SMEs of batik to adopt e-commerce.

This study uses a hypothesis which is drawn from related literature, quantifiable measures variables with a 1–5 Likert scale, hypothesis testing and draws the inference about a phenomenon of switching the behavior of SMEs from traditional marketing to e-commerce from the sample of 100 owners of batik SMEs, which are located in Yogyakarta, Solo and Pekalongan. The study used partial least square with the aid of the SmartPLS software program to test the hypothesis.

The result of hypothesis testing indicates that two factors significantly influence the switching behavior of batik SMEs from physical store retailing to e-commerce. The first factor is the desire of SMEs to support the information searching behavior of their customers, and the second factor is the perception that adopting e-commerce can provide value for the SMEs. However, this study fails to prove that the attractiveness of e-commerce can significantly pull the switching behavior of batik SMEs from physical store retailing to e-commerce. Moreover, related to mooring factors, the results show that the computer self-efficacy of the SME owners as a moderating effect is not supported.

This study has several limitations. First, the samples were restricted to the SMEs of batik in three cities (Yogyakarta, Solo and Pekalongan). It is significant to conduct cross-sector, cross countries, cross-region or even cross-cultural investigations on this subject for better explanations of the results from a global perspective. Studies on cultural differences in switching behavior are supposed to accommodate to different individuals from the SME owner. Second, the study does not differentiate the sizes of enterprises; that is, no test was conducted for small-, medium- and large-size enterprises. The study only focuses on SMEs. Different empirical results may be obtained for different sizes because each enterprise size can have a different condition in e-commerce adoption. Second, this study pays more attention to the product categories of stamped batik and hand-drawn batik. Consumers can have dissimilar favorite channels to purchase other types of batik. Future research should also consider this issue.

Within all the opportunities available through e-commerce (support the information searching behavior, save the travel time and travel cost, better service quality to their customer, a lower price to their customer as well, and increase their sales), the SMEs need to enhance e-commerce activities and put it in their strategy for moving forward. On the other side, the government should have a strong interest in helping and supporting the SME through several activities.

The research confirms that e-commerce adoption may benefit SMEs. It may encourage more SMEs to move from the traditional physical store retailing to e-commerce.

Although this study uses the conceptual model from the study of Chang et al. (2017), significant differences exist between the two studies. This study uses the PPM framework in the context of the seller migratory decision, whereas in most studies, the PPM framework is used in the context of the consumer migratory decision. Moreover, most studies about the adoption of e-commerce by owners of SMEs use the theory of reasoned action, theory of planned behavior, technology acceptance model, technology, organization and environment, and unified theory of acceptance and use of technology as the framework.

The problem considered in this paper is that of determining the order in which customers will be visited by delivery/pick‐up vehicles. Typical examples of this problem are the routing questions faced by the Post Office in making local deliveries, industrial laundry service companies and garbage collection agencies. Generally, in these situations, the vehicle leaves a central facility, visits a known set of customers and must return to the central facility before a specified amount of time has elapsed (e.g., a shift). In addition to these characteristics, it will be assumed that there is sufficient capacity on each vehicle for its delivery or pick‐up requirements during the available time and the customers are indifferent as to when the vehicle arrives during this time. The problem is to assign customers to routes for individual vehicles so as to minimize the total travel time for all vehicles, without having any vehicle exceed the amount of time available.

Third-party logistic providers (3PLs) continuously strive for controlling and improving their performances to gain a competitive advantage. The challenging environment where they operate is affected by high variety in type and number of clients, the inventory mix and the demand profiles they have to meet. Consequently, better understanding the dynamics of warehousing operations and the characteristics of the inventory mix is critical to handle such a complexity.

This paper proposes a decision-support framework, suited for 3PL warehouse practitioners, that aids to design and implement effective and affordable activities for measuring and improving the warehousing performances. Such goal is pursued by the framework by leading the managers through an initial mapping and diagnosis of the system, then by developing a tailored measurement system to track the performance, paving the way to the identification of the criticalities and the potential improvement scenarios.

This paper presents a case study on the implementation of the proposed framework at a warehouse of an Italian 3PL provider to introduce a new storage assignment policy and reduce the travelling time for order picking. Furthermore, the paper exemplifies how the framework contributes to enhance the awareness of managers on warehousing operations and the involvement of the personnel throughout the improvement process.

The proposed framework can be implemented by operations managers of 3PL warehouses who want to pursue general performance improvement projects. With respect to the case study, this framework contributes to identify the storage assignment policy that reduces the travelling for order picking in the observed warehouse of 8 percent in a month but is intended to address to even other areas of improvement in 3PL warehousing environments.

Instead of focusing on the proper methods and models that optimize a specific task or performance indicator, it provides a general framework that leads the managers through the decisional process, from the preliminary diagnosis of the system, to its benchmarking, towards the implementation of corrective and improving solutions.

Improving the commercial success rate of innovations requires alternative approaches based on social science methodologies for identifying subtle, emerging changes in consumer needs and behaviors. The purpose of this paper is to address this call by proposing trend spotting to guide innovation researchers and service managers towards innovations that are more in accordance with emerging consumer needs.

The authors develop, describe, and employ a methodology for trend spotting to derive eight consumer trends that will have a strong influence on their choices. To provide further insights into these trends, the authors label and describe three customer segments as a function of life-cycle. The goal is to provide a framework for identifying innovations that are of higher value consumers.

The authors identified eight consumer trends, i.e. Always on the go, Always logged-in, Quality information faster, Nowism, Look at me now, Privacy, Sustainable living, and return on time (RoT), present across the three life-stage segments, i.e. Young free and single, Chaos in my life, and Got my life back.

For illustration purpose, the authors elaborate on the trend RoT and employ their findings and framework to illustrate how the airline industry may derive ideas for valuable innovations.

To the best of the authors’ knowledge, this is the first time trend spotting has been employed in the field of service marketing and service innovations.