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The present work utilizes airborne gamma ray spectrometric data in a trial to refine surface geology of igneous, metamorphic and sedimentary rocks, detect any radioactive mineralization at Gabel Umm Tineidba area South Eastern Desert, Egypt. The study area is covered by rock exposures ranging in age from the Precambrian to Quaternary. Airborne gamma ray spectrometry can be very helpful in mapping surface geology. This provides estimates of the apparent surface concentrations of the most common naturally occurring radioactive elements, such as potassium (K), equivalent uranium (eU) and equivalent thorium (eTh). This is based on the assumption that, the absolute and relative concentrations of these radioelements vary measurably and significantly with lithology. The composite image technique is used to display simultaneously three parameters of the three radioelement concentrations and their three binary ratios on one image. The technique offers much in terms of lithological discrimination, based on color differences and showed efficiency in defining areas, where different lithofacies occur within areas mapped as one continuous lithology. The integration between surface geological information and geophysical data led to detailing the surface geology and the contacts between different rock units. Significant locations or favourable areas for uranium exploration are defined, where the measurements exceed (X+2S), taking X as the arithmetic mean of eU, eU/eTh and eU/K measurements and S as the standard deviation corresponding to each variables. The study area shows the presence of fifteen relatively high uraniferous zone. In addition, the trend analysis based on the total count map and the published geological map shows that, most of the well-developed structural lineaments have NS, ENE, NNE and NNW trends.

International students are considered as a huge and potentially lucrative segment for various products of the tourism industry in Malaysia. One of the tourism products is the local food they consume. The purpose of this paper is to investigate key factors that contribute to international students’ intention to consume Malay food. Drawing on the theory of planned behavior (TPB), the present study examines the impact of attitude, subject norm and perceived behavioral control (PBC) on international students’ intention to consume Malay food.

A quantitative approach using self-administered questionnaire was adopted. A total of 163 samples were collected from international students studying in five different Malaysian higher education institutions. A partial least squares structural equation modeling technique was used to test the hypothesized model.

The findings highlight that attitude, subject norms and PBC significantly motivate international students to consume local food. The subject norm toward consuming local food was revealed as the strongest predictor of international students’ intention to consume Malay food.

Although this is one of the early studies that uses the TPB in assessing the factors that influence international students’ intention to consume local food, this paper is driven by and aimed for practical consideration and thus making a significant contribution to practice. Specifically, the findings of the present study provide important implications for tourism industry practitioners to plan and implement initiatives that may promote local food among international students studying in Malaysian institutions.

The case deals with sovereignty and issues related to doing business in a foreign land. It highlights aspects of taking political risk for granted and factoring in or not factoring in the legal environment, which includes the rule of law and independence of judiciary, in a particular jurisdiction. The case brings forth the idea of agreeing to the jurisdiction of a neutral country, and how efficacious it may be. The top management is expected to anticipate political and legal changes, and must be prepared to face the worst.

As a result of COVID-19 outbreak, the rapid digital transformation has drastically changed the way we work as individuals as well as the organisations. Our constant engagement online has become a natural phenomenon. Whenever we go online, we leave a trail of digital data behind us either actively or passively. For a common customer, employee or even an employer, issues regarding data protection and data security are challenging. For instance, who owns the Digital Footprint Data? Do the employees have the skills to protect customers' data online? How are small and medium enterprises (SMEs) handling the ethical issues around digital footprints? These are some primary questions SMEs are currently facing in the transition of digital transformation. These questions have profound ethical implications for SMEs' digital footprints during the COVID-19 outbreak and beyond, which have been explored further in this study.

Building on social cognitive theory and self-determination theory, this study aims to discern the innovative work behaviors of organizational employees as the process by which they generate, develop and implement new and valuable ideas, practices, products or procedures shaped by entrepreneurial leadership by reinforcing intrinsic motivation and creative self-efficacy under the boundary condition of a firm’s innovative climate.

This study used partial least squares-based structural equation modeling on a sample of 203 employees of small and medium-sized enterprises operating in Saudi Arabia.

This study found that entrepreneurial leadership improves employees’ innovative work behavior by successively enhancing their intrinsic motivation and creative self-efficacy. Furthermore, the analysis confirmed that a firm’s innovative climate significantly moderates the strength of the indirect mediation effect between entrepreneurial leadership and employees’ innovative work behavior through sequential mediation.

The findings of this study yield substantial theoretical and practical implications resulting from a fine-grained understanding of the instrumentality of entrepreneurial leadership in fostering employees’ innovative work behavior. Effectively orchestrating these psychological mechanisms could enable entrepreneurial leaders to alleviate their behaviors.

This is an original study that outlines the importance of aligning entrepreneurial leadership and an innovative climate to shape intrinsic motivation and creative self-efficacy in employees’ innovative work behavior. It demonstrates how entrepreneurial leadership enhances innovative work behavior through the sequential mediation of intrinsic motivation and creative self-efficacy under the boundary condition of an innovative climate.

The interaction of consumers and technology has become a challenge for companies and marketing professionals. Technological acceleration has transformed how business is conducted and the consumer-company relationship. The need to establish communication with (potential) consumers to promote engagement with the brand highlights the importance of using mobile instant messaging (MIM). In this context, this paper aims to investigate the use of MIM as a tool for interaction between companies and consumers.

This article investigates, through a systematic literature review (SLR), the state of the art of scientific research regarding the use of MIM as a tool for interaction between companies and consumers. To analyze the selected articles, the authors used a research protocol composed of three stages: (1) planning, (2) conducting and (3) disseminating knowledge.

This study made four main contributions to the MIM field: (1) extends the literature on MIM, focusing on the perspective of companies and consumers; (2) expands the ongoing discussions, suggesting the limited availability of research on MIM as a tool for interaction between companies and consumers; (3) development of a typology composed of three classes, namely “Consumer relationship,” “Social interaction and technology, and “Social media as channels strategy”; (4) the fourth contribution concerns identifying future research areas and answering questions.

This article is the first to investigate, through a SLR, the state of the art of scientific research regarding the use of MIM as a tool for interaction between companies and consumers.

The purpose of this paper is to carry out a comprehensive review for state-of-the-art works in disruption risk management of express logistics mainly supported by air-transportation. The authors aim to suggest some new research directions and insights for express logistics practitioners to develop more robust planning in air-transportation.

The authors mainly confined the research to papers published over the last two decades. The search process was conducted in two dimensions: horizontal and vertical. In the horizontal dimension, attention was paid to the evolution of disruption management across the timeline. In the vertical dimension, different foci and strategies of disruption management are employed to distinguish each article. Three keywords were used in the full text query: “Disruption management”, “Air transportation”, and “Airline Operations” in all database searches listed above. Duplications due to database overlap, articles other than those from academic journals, and papers in languages other than English were discarded.

A total of 98 articles were studied. The authors categorized the papers into two broad categories: Reactive Recovery, and Proactive Planning. In addition, based on the problem characteristics and their application scenarios, a total of 11 sub-categories in reactive recovery and nine sub-categories in proactive planning were further identified. From the analysis, the authors identified some new categories in the air-transportation recovery. In addition, by analyzing the papers in robust planning, according to the problem characteristics and the state-of-the-art research in recovery problems, the authors proposed four new research directions to enhance the reliability and robustness of air-transportation express logistics.

This study provided a comprehensive and feasible taxonomy of disruption risk management. The classification scheme was based on the problem characteristics and the application scenarios, rather than the algorithms. One advantage of this scheme is that it enables an in-depth classification of the problem, that is, sub-categories of each class can be revealed, which provides a much wider and clearer horizon to the scientific progress in this area. This helps researchers to reveal the problem’s nature and to identify the future directions more systematically. The suggestions for future research directions also point out some critical research gaps and opportunities.

This study summarized various reasons which account for the disruption in air-transportation. In addition, the authors suggested various considerations for express logistics practitioners to enhance logistics network reliability and efficiency.

There are various classification schemes in the literature to categorize disruption management. Using different algorithms (e.g. exact algorithm, heuristics, meta-heuristics) and distinct characteristics of the problem elements (e.g. aircraft, crew, passengers, etc.) are the most common schemes in previous efforts to produce a disruption management classification scheme. However, the authors herein attempted to focus on the problem nature and the application perspective of disruption management. The classification scheme is hence novel and significant.

The rapid global changes we are witnessing pose a pressing challenge that necessitates reevaluating conventional supply chain practices. Consequently, the integration of digital technologies into supply chain operations, often referred to as digital supply chain (DSC), has emerged as a strategic shift that aims to empower organizations to proactively seize new opportunities rather than being caught off guard by unforeseen disruptions arising from economic volatility, global pandemics and regional conflicts. Thus, this study embraces a knowledge-centric approach to explore the direct and indirect impact of knowledge management, innovation and learning capabilities on DSC adoption in an emerging economy context. Furthermore, it aims to shed light on the moderating role of environmental dynamism in this intricate interplay.

Employing a cross-sectional survey, the research data were collected from 354 managers representing Egyptian manufacturing and service firms utilizing a structured questionnaire. Data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM).

The results unveiled that knowledge management capability (KMC) has the highest path coefficient value among all endogenous variables. It accounts for a significant portion of the variance in innovation and learning capabilities, which play pivotal roles in adopting DSC. Notably, learning capability appears to exert a more powerful influence on DSC adoption than innovation capability through direct and mediating effects. Furthermore, the findings underscore the moderating effect of environmental dynamism on the relationship between learning capability and DSC adoption. However, this moderating role is not observed in the link between innovation capability and DSC adoption.

There is a growing trend among firms to adopt DSC in response to significant environmental shifts. This study offers valuable insights for managers and policymakers, providing them with a deeper understanding of the DSC adoption process. The study’s findings assist in identifying crucial factors that boost DSC adoption and offer guidance on successfully leveraging digital technologies for managing supply chain practices. Moreover, the study offers stimulating directions for future DSC research directions.

The study contributes to the existing literature by expanding our understanding of the adoption of DSC by utilizing knowledge, innovation and learning capabilities within the context of emerging economies.

The sustainable development of contractor organizations depends highly on bidding decision-making of projects. This current study, leveraging the risk decision-making theory, attempts to elucidate the process of contractors’ bid/no-bid decision-making and reveal how the process is influenced by their perception of risk. In particular, this study aims to explore the multiple mediating effects of contractors’ trust in owners and risk perception in explaining the relationship between contractual governance outlined in owners’ bidding documents and the bid/no-bid decisions.

A questionnaire survey was used to obtain data from the Chinese construction industry. The PLS-SEM technique was employed to analyze a dataset of 557 available questionnaires.

The findings indicate that (1) the contractual governance provided by owners’ bidding documents positively impacts contractors’ bid/no-bid decisions; (2) both risk perception and trust serve as multiple mediators in this relationship and (3) trust mediates the relationship between contractual governance and contractors’ risk perception.

Drawing upon the risk decision-making theory, this study proposes a multiple mediation model for understanding contractors’ bid/no-bid decision-making processes. It contributes to a better understanding of contractors’ bidding decision-making mechanisms, thereby offering theoretical guidance for contractors to make reasonable and informed risk decisions.