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This paper seeks to investigate barriers faced by women in acquiring higher positions in a Malaysian multinational oil company.

Data were obtained through a survey involving 78 executive women in the Malaysian oil company. A structured questionnaire was used to gather data. The study used gender role theory, which argues that women are viewed and treated unfavourably when they do not act according to their expected gender roles.

Shows family structure and women's commitment to the family are the most significant barriers perceived by the executive women. This research reveals that women in various job positions do not differ in their perceptions with regard to barriers they face for career progression.

The study was conducted among executive women in one company only, hence it cannot be generalized to other oil companies in Malaysia.

Provides evidence on family‐, organizational‐ and societal‐related barriers to career progression. The organization should aware of these barriers as they will affect women's professional development.

This is a first study of this nature conducted in a large oil company which focuses on women‘s barriers to career progression.

This study aims to explore the perceptions of zakah institutions and the intention of society towards the application of blockchain technology in zakah management.

The nature of this study is qualitative, attempting to indulge into the contribution of Fintech in Islamic social finance. This study uses a mixed-method to gauge the perception of stakeholders. For the quantitative approach, a survey was carried out focussing on zakah receiver and zakah payer. The data then was analysed based on the technology acceptance model. While interview survey with multiple stakeholders (zakah institutions, JAWHAR and university) was conducted to gauge the perception of zakah institutions in using blockchain technology.

The findings of this study provide a positive view for zakah institutions to embrace the usage of blockchain in its management, however, there are several concern that needs to be addressed.

This study provides new insights to the body of knowledge especially in the zakah management system and Fintech. Besides, from a managerial aspect, this study contributes to the new practices that could be implemented in zakah institutions.

Many people lose jobs and income due to the economic turmoil and COVID-19 pandemic, which makes zakah an important Islamic social finance tool to assist in socio-economic development. It is high time for zakah institutions to implement blockchain especially during this pandemic crisis that requires a more contactless approach to ensure health and safety.

This study is important to encourage Islamic social finance institutions to embrace blockchain technology in providing an efficient service to the development of social and economic.

The purpose of this work is to survey the body of research revolving around big data (BD) and analytics in hospitality and tourism, by detecting macro topical areas, research streams and gaps and to develop an agenda for future research.

This research is based on a systematic literature review of academic papers indexed in the Scopus and Web of Science databases published up to 31 December 2020. The outputs were analyzed using bibliometric techniques, network analysis and topic modeling.

The number of scientific outputs in research with hospitality and tourism settings has been expanding over the period 2015–2020, with a substantial stability of the areas examined. The vast majority are published in academic journals where the main reference area is neither hospitality nor tourism. The body of research is rather fragmented and studies on relevant aspects, such as BD analytics capabilities, are virtually missing. Most of the outputs are empirical. Moreover, many of the articles collected relatively small quantities of records and, regardless of the time period considered, only a handful of articles mix a number of different techniques.

This work sheds new light on the emergence of a body of research at the intersection of hospitality and tourism management and data science. It enriches and complements extant literature reviews on BD and analytics, combining these two interconnected topics.

Malaysia has shifted from a labor-intensive, agriculture-based economy since its independence in 1957 to a knowledge and innovation-based economy. Human capital development (HCD) is a key enabler for driving and sustaining Malaysia's socioeconomic growth. The education and training system is the main platform for HCD intervention. To sustain and achieve goals, long-term survival, competitive advantage, and sustainability, the workforce is optimized through comprehensive HCD interventions to provide the necessary knowledge, skills, and competencies needed to work effectively in a rapidly changing and complex environment. Numerous efforts have been made by the government to ensure that the education and training system has the capacity to enhance the quality and availability of intellectual and skilled human capital to support the transition toward knowledge-intensive activities, sustain economic growth, and compete in the global market. The country's development plans and policies as well as the economic development which lead toward a knowledge-based economy with a knowledge-based workforce have charted out clear transformation journeys for the development of the human capital ecosystem. This chapter presents an overview of the landscape of HCD in Malaysia. Relevant reports, plans, policies, and strategies to strengthen human capital through education and training is reviewed. Finally, a few issues and challenges that Malaysia experiences are discussed.

This study aims to provide insights into human–algorithm interaction in revenue management (RM) decision-making and to uncover the underlying heuristics and biases of overriding systems’ recommendations.

Following constructivist traditions, 20 in-depth interviews were conducted with revenue optimisers, analysts, managers and directors with vast experience in over 25 markets and working with different RM systems (RMSs) at the property and corporate levels. The hermeneutics approach was used to interpret and make meaning of the participants’ lived experiences and interactions with RMSs.

The findings explain the nature of the interaction between RM professionals and RMSs, the cognitive mechanism by which the system users judgementally adjust or override its recommendations and the heuristics and biases behind override decisions. Additionally, the findings reveal the individual decision-maker characteristics and organisational factors influencing human–algorithm interactions.

Although the study focused on human–system interaction in hotel RM, it has larger implications for integrating human judgement into computerised systems for optimal decision-making.

The study findings expose human biases in working with RMSs and highlight the influencing factors that can be addressed to achieve effective human–algorithm interactions.

The study offers a holistic framework underpinned by the organisational role and expectation confirmation theories to explain the cognitive mechanisms of human–system interaction in managerial decision-making.

Building on a TripAdvisor data for five Mediterranean destinations, namely, Greece, Croatia, Italy, France and Spain, this study analyses the constituents of restaurants' online reputation and their interrelation with destination competitiveness, in particular two Travel and Tourism Competitiveness Index (TTCI) pillars, namely, Prioritisation of Travel and Tourism and Price Competitiveness.

The analysis has revealed that restaurants' online reputation is positively influenced by two factors, namely, Core elements, i.e. cooking, service and price-quality ratio, and Price. Furthermore, the restaurants' online reputation does not influence destination competitiveness (TTCI) directly, but indirectly throughout its main constituents, i.e. service and price. Price is the only variable with significant influence on overall TTCI. Within the sample of these destinations, Balkan countries, i.e. Greece and Croatia, perform very well in terms of their restaurants' online reputation. On the other hand, considering the overall TTCI rating, their competitive positions are substantially lower than those of Italy, France and Spain.

The study provides new insights into the relationship between gastronomic offer and destination competitiveness, and valuable practical implications for destination and hospitality management. Moreover, this study addresses various gaps in existing research on this topic. Specifically, it validates the reputation elements presented online using TripAdvisor data and analyses the impact of electronic Word of Mouth (eWOM) not only as the outcome variable of other constructs, as is the case in the literature, but also as a central construct of the analysis. In doing so, it extends current research on this topic and fills the gap regarding the inclusion of the supply-side stakeholder perspective, which has long been recognised as necessary in any attempts to measure competitiveness.

This study assessed the effect of photo themes to facilitate social media user engagement in Facebook brand pages and emphasized the important role of designing images for developing destination marketing strategies.

This study analyzed 8,900 posts that were published by official tourism destination marketers for each destination (Hong Kong, Japan, South Korea). Text mining analysis, image thematic coding analysis and two-way ANOVA were applied to examine the significant differences across proposed determinants for the following engagements: the numbers of likes, comments and shares.

The results indicated that photographs on social media of three tourism destinations can be explored based on 11 categories of image themes. The themes' significant and distinct effects on three indicators of social media engagement were verified.

This research presented methodological insights by integrating thematic and statistical analyses with social media analytics. The findings of this study provided theoretical evidence of the importance of image themes in the context of social media engagement marketing. Based on the implications of this study, practitioners would enhance the effectiveness of social media marketing.

The purpose of this paper is to investigate the impact of four important influencing factors on user satisfaction with an in-house developed ERP module in a large oil and gas company in Saudi Arabia. It explores whether communication campaigns, training, benefits, ease of use (EoU) are key antecedents of user satisfaction, and examine the mediating effects of EoU and benefits on satisfaction.

A questionnaire was developed and distributed to a sample of 104 ERP users who were actively engaged in the ERP system implementation process. The partial least square method was used to test the research model. Baron and Kenny’s approach was used to test the mediating effects.

The proposed research model explained 62.7 percent of the variance in ERP user satisfaction. The results showed that EoU fully mediates the relationship between the training and communications and the benefits. Both EoU and benefits fully mediate the relationship between training and satisfaction and partially mediate the relationship between communications and satisfaction.

The findings of this study imply that training programs and communication campaigns should be designed in such a way that foster the EoU and convey and convince the ERP stakeholders about the benefits and values of ERP systems.

This study extends the understanding of salient factors affecting the ERP satisfaction in a different setting, namely in an oil & gas industry of a developing country. Although academic research of ERP satisfaction is abundant, this study contributes to the field by examining the mediating effects which rarely tackled in the extant research studies.

The tourism industry is undergoing a rapid transformation brought on by artificial intelligence (AI), which is offering a wide range of benefits to both businesses and their customers. Nevertheless, this technological advancement also poses a number of difficulties for which the sector will need to find solutions. This chapter investigates the effects that artificial intelligence (AI) has had on the tourism industry in Europe, with a particular focus on how the hospitality industry has reacted to the advent of this technology. Following an overview of the tourism and hospitality industries in Europe, this chapter begins with an introduction to artificial intelligence (AI) in the tourism industry. The section on the methodology describes the various approaches to research that were utilised in this study, and the section on the conclusion summarises the findings.

This study aims to investigate the antecedents of code of ethics’ quality with specific regard to the peculiarities of corporate governance, which include the role of the primary shareholders within the firm, the role and influence of independent directors on the board, the effect of board size on the strategic decision-making process and the influence of the chief executive officer’s (CEO) age and gender diversity.

A sample of 248 Italian public companies publishing a code of ethics as of 2011 is used to test the hypotheses through Tobit regression models.

A positive or negative impact is derived from the implementation of a high-quality code of ethics. Codes of ethics are strongly influenced by the ownership structure of the company given the critical role played by primary shareholders with larger stakes in influencing the quality of a code. Moreover, the lower the number of independent directors, the higher the firm’s propensity to invest in code of ethics’ quality. Similar results were found in relation to board size and CEO age, where smaller boards and younger CEOs are more inclined to implement higher-quality codes of ethics.

Results support the argument that when linked to a sustainability strategic orientation focused on a high-quality code of ethics, corporate governance characteristics reveal influences that differ from those found in prior literature.