Search results

At present, the whole hospitality and tourism sector is severely impacted by the COVID-19 pandemic, and related lockdowns have been producing severe transformations in the industry. Several business reports and academic studies have highlighted that, compared to before the COVID-19 outbreak, tourists will likely choose to visit less crowded tourism destinations, and will tend to prefer accommodation facilities that can deliver their services with reduced face-to-face interactions and guaranteeing fair levels of physical and social distancing. This said, there is only a limited number of scientific studies dealing with this topic so far. This, coupled with the extremely dynamic and turbulent environment we are currently experiencing, urges scholars to further intensify the academic discussion on this area of research. Further examination would give practitioners knowledge to assist them in their decision-making in an era of tourism where everyone seems to be moving towards a ‘new normal’ of unknown duration. The present study was thus conducted to make a contribution to this debate by providing and discussing the results of a factor analysis on a sample of 200 German respondents, to dig into the criteria that travellers use to select the destination and the accommodation for their vacation. Findings contribute to deepen the scientific debate about how tourist behaviour is transformed by the COVID-19 pandemic and, potentially, by any other type of virus that could replicate a similar emphasis on hygiene and safety, as well as on social distancing. Meanwhile, our results will provide policy makers, destination marketers, and accommodation managers with useful information on effectively planning and implementing their service design in order to meet tourists' expectations and needs.

Introduction: Contrary to the past when we used to pick among destinations based on our personal preferences, we have had to ignore our preferences due to the COVID-19 pandemic. Tourists’ buying behaviour and patterns may differ in the pandemic conditions.

Purpose: During the early pandemic period, filled with panic and fear, consumers shopped for pasta and toilet paper so much so that stores ran out of these consumables, and people started a fight for survival. It was extremely difficult to answer the question of when these consumers, who were shopping as if they would never get out of their homes ever again, would go on vacation as tourists again. In this chapter, it is aimed to reveal how much tourists’ choices of destination affect the number of cases and deaths caused by the pandemic.

Methodology: To understand the effects of the COVID-19 pandemic on tourist destination choices, correlations between the numbers of cases and deaths in 2020 and the changes in tourist arrival numbers for the previous year were analysed.

Findings: Based on the results of the analyses, consumers generally want to participate in tourism even in pandemic conditions. Therefore, at the end of the chapter, precautions and recommendations are put forward to adapt to the pandemic process and enable the dynamism in the tourism sector to be maintained.

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.

The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.

In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.

The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.

Introduction – In today’s intense competitive environment, businesses that want to have a sustainable competitive advantage must put the customer at the centre of all their activities and create customer loyalty by offering products and services that will provide customer satisfaction. One of the key elements of ensuring customer satisfaction is the effective handling of customer complaints, which is defined as the customers expressing their dissatisfaction with unmet expectations and unsatisfied needs verbally or in writing. The concept of a complaint as a response of customers’ dissatisfaction with the products and services they experience is an invaluable feedback mechanism for businesses to resolve issues relating to their products and services.

Aim – The aim of this chapter is to emphasise the importance of the concept of complaint as an important part of customer relations management and an effective marketing tool for the tourism sector. As a service sub-sector, the simultaneous production and consumption of services in the tourism sector ensures customer satisfaction more than concrete products, due to their inseparable nature. For this reason, handling, evaluating and finalising customer complaints has an important function and value in providing the necessary information for tourism enterprises to become aware of their deficiencies and mistakes. Complaint management has started to play an even more critical role for the tourism industry in preventing customer losses due to dissatisfaction, especially considering the shrinkage in demand in the sector due to the COVID-19 pandemic.

Method – Firstly the concept of complaint and the importance of complaints for businesses were explained, customer complaint behaviour and the factors affecting this behaviour were examined in detail, the concept of online complaint was mentioned and the subject was evaluated in terms of tourism businesses.

Results – While the effective management and resolution of complaints should be seen as a goal by every tourism business, it is vital that they understand customer complaint behaviours, the factors affecting this behaviour and how complaints should be managed in a way that will result in favour of the business.

Conclusion – A complaint management process that enables customers to easily report their complaints to businesses and produces solutions as soon as possible will positively affect customer satisfaction. In this context, in order to reduce the negative effects on tourism enterprises, especially through the pandemic, business need to have clear and easy-to-access procedures, provide a quick response, show reliability and consistency in providing a solution, keeping the complainant informed of progress, have employees who can communicate with empathy and courtesy, have enough employees to deal with the situation, and adopt proactive approaches to prevent complaints rather than reducing the volume of complaints.

Originality/Value – This research contributes to the literature in terms of complaining behaviour, examining the factors affecting this behaviour and emphasising the importance of the concept of complaints in the tourism sector. In addition, the research is important in terms of examining the contributions of an effective complaint management system in reducing the negative effects of the COVID-19 pandemic on the tourism sector, which is one of the sectors mostly affected on a global scale.

A crucial aspect of supply chain management (SCM) is the formulation of lean supply chain management (LSCM). In this sense, the key practices are extended towards the LSCM settings as alternative strategies and several frameworks were developed to help companies to make choices based on production disruption. Studies in this field have focussed mainly on SCM. Although manufacturing businesses recognise the necessity of effective SCM, but little study has been done on manufacturing LSCM. The behaviour and the potential for significant impacts on sustainable performance (SP) in manufacturing companies can vary with time and variations for approaches of the LSCM key practices. This chapter, therefore, focusses on main practices for LSCM on the basis of evaluations of experts in the Malaysian manufacturing sector in order to achieve SP in manufacturing companies. The aim of this chapter is to identify the key practices in LSCM on SP. Hence, this chapter reviewed 172 articles published from 2015 to 2019, used the methodology for SLR with three main steps: literature review planning, reviewing, and reporting. As a result, there are evidence that the key practices for LSCM used in previous studies are (1) customer relationship management, (2) supplier relationship management, (3) just in time manufacturing, (4) waste reduction, (5) cost reduction, and (6) minimise inventory level. In manufacturing industries, LSCM is more complex. Insights on the causing issues and SP are provided. Finally, this chapter contributes to SCM and literature on sustainability and has managerial implications for companies to improve SP more effectively.

The ‘managed stock’ market in Taiwan is neglected by the authorities and general investors. In this paper, we explore the link between financial trait and stock price changes in this special market.

Overall, we analyze and discuss managerial implications for institutional investors, general investors and the authorities as well.

The origins of corporate social responsibility (CSR) have been widely attributed to the work of scholars, and business managers as well, in North America and Western Europe. Inevitably, however, as the economic interaction of individual firms and entire nations has grown over the past several decades — call it globalization — so too has the concept and the practice of CSR spread throughout the world. It is certainly time to explore how CSR is being incorporated into the practice of business management in other regions and other countries. Therefore, in this chapter we will focus on Asia: specifically on Japan, South Korea, India, and China. It is interesting for academicians to understand how CSR is being absorbed and adapted into the business cultures of these four countries. Perhaps of even greater importance, it is vital that business managers know what to expect about the interaction between business and society as well as the government as their commercial activities grow in this burgeoning part of the world.

For each of these four countries, we will provide an overview of the extent to which CSR has become a part of the academic community and also how it is being practiced and incorporated in everyday management affairs. We will see that there are very significant differences among these countries which lead to the natural question: why? To answer this question, we will use an eight-part analytical framework developed specifically for this purpose. We will look at the history, the dominant religious beliefs, the relevant social customs, the geography, the political structures, the level of economic development, civil society institutions, and the “safety net” of each country. As a result of this analysis, we believe, academicians can learn how CSR is absorbed and spread into commercial affairs, and managers can profit from learning more about what to expect when doing business in this increasingly important region.

There is currently a great deal of attention in psychometric and statistical methods on ensuring measurement invariance when examining measures across time or populations. When measurement invariance is established, changes in scores over time or across groups can be attributed to changes in the construct rather than changes in reaction to or interpretation of the measurement instrument. When measurement in not invariant, it is possible that measured differences are due to the measurement instrument itself and not to the underlying phenomenon of interest. This chapter discusses the importance of establishing measurement invariance specifically in postsecondary settings, where it is anticipated that individuals' perspectives will change over time as a function of their higher education experiences. Using examples from several measures commonly used in higher education research, the concepts and processes underlying tests of measurement invariance are explained and analyses are interpreted using data from a US-based longitudinal study on bioscience PhD students. These measures include sense of belonging over time and across groups, mental well-being over time, and perceived mentorship quality over time. The chapter ends with a discussion about the implications of longitudinal and group measurement invariance as an important conceptual property for moving forward equitable, reproducible, and generalizable quantitative research in higher education. Invariance methods may further be relevant for addressing criticisms about quantitative analyses being biased toward majority populations that have been discussed by critical theorists engaging quantitative research strategies.