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This study empirically examines the impact of motivation, transformational leadership and involvement in strategic planning (SP) on academic staff performance at higher education institutions (HEIs). It also examines how academics' involvement in SP mediates the associations between motivation, transformational leadership and performance.

This article conducted a quantitative approach based on a self-administered survey. Partial least squares structural equation modeling (PLS-SEM) was applied to analyze the data gathered from 192 faculty members at governmental HEIs in Oman.

The results indicated that academic staff motivation has a significant and positive impact on their involvement in SP and performance in HEIs. It is also revealed that employee involvement in SP activities is significantly affected by transformational leadership, while the latter does not affect academic staff performance. There is also a significant association between academic staff involvement in SP and their performance. Moreover, the relationships between motivation, transformational leadership and performance are fully mediated by academic staff involvement in SP at HEIs.

The current empirical work is one of the few endeavors to develop an integrated structural model to investigate how faculty members' performance could be affected by motivation, transformational leadership and involvement in SP. Furthermore, it is considered one of the first attempts to explore the intervening role of academic staff involvement in the SP process in the connections between motivation, transformational leadership and performance within the HEI realm.

This paper aims to explore the extent of corporate social responsibility disclosure (hereafter CSRD) in Jordan and also examine whether ownership structure, board of directors and audit committee characteristics influence CSRD.

The extent of CSRD is measured by constructing a CSRD index for industrial firms listed on the Amman Stock Exchange from 2016 to 2021. Panel regression analysis is used to examine the potential effect of ownership structure, board of directors and audit committee on the level of CSRD.

This study provides empirical evidence that diverse groups of shareholders have different effects on CSR engagement, and board characteristics (board size, board independence and gender diversity) play a vital role in increasing voluntary disclosure, including CSR information. There is no evidence to support that CSRD is influenced by audit committee characteristics.

This study recommends that corporate regulators and policymakers can improve CSRD practices by expanding the scope of existing disclosure requirements related to CSR and developing a structured CSRD index to measure the degree of CSRD practices for comparative purposes. Encourage firms to actively participate in social responsibility programs by granting tax incentives and government facilities to firms with the best CSR reports. Policymakers should introduce initiatives that support female’s representation on board. Finally, firms should restructure their boards by increasing board size and the percentage of independent directors to enhance their effectiveness to support CSRD.

This paper contributes further insights into the literature on CSRD practices and disclosure by analyzing data from developing market contexts.

This paper aims to identify the critical project management success factors and analyze those factors to achieve a sustainable construction industry in Bangladesh.

This study identified 41 major problematic factors from the related literature. In this research, a detailed questionnaire survey was conducted among the experts and stakeholders of the construction industry of Bangladesh. The survey was carried out on a Likert scale and ranked the critical factors using the relative importance index (RII). The 41 problematic factors were divided into five group factors and ranked by the RII index to prioritize the factors. Finally, stakeholders' opinions were analyzed with the critical assessed factors, which was a very effective technique to eliminate the risks and uncertain occurrences in the construction industry of Bangladesh.

The factors analysis revealed that cost overrun, traffic jam, low wedges, slow payment for completed works and financial issues of the owner were leading critical factors in construction projects. Moreover, the critical factors are divided into five-factor groups, namely, financial management, monitoring and feedback, competency management, communication and coordination management, and risk management, which exhibit 0.767, 0.720, 0.711, 0.710 and 0.658 RII values. After all, the stakeholders' opinion suggested that implementing modern tools and techniques can help to avoid the critical situation in the construction industry of Bangladesh.

The construction industry of Bangladesh is moving away from stable construction work day by day. Previously, the potential CSFs were discussed unstructured way. Hence, detecting early warning signals in a structured way has become necessary for the building firm's survival.

Though some scattered critical issues are discussed in different literature, the critical issues of the Bangladeshi construction industry were not investigated extensively. Therefore, this study finds out the potential critical issues of the construction industry of Bangladesh to accumulate such harmful construction issues in a single platform so that the construction industry can have an overview of them with the help of innovative technologies.

This paper aims to investigate the impact of audit mechanisms on earnings management (EM) practices in listed Saudi Arabian companies. Specifically, it examines the association between audit committee (AC) characteristics, external audit quality and EM before and after the revision of Saudi Regulations on Corporate Governance (SRCGs) in 2017.

The study analyzes a data set comprising 135 Saudi-listed companies observed from 2013 to 2020. EM practices are measured using the absolute value of discretionary accruals, and external audit quality is assessed by the involvement of BIG 4 auditors. The authors also consider four variables to gauge AC characteristics: independence, size, meeting frequency and expertise. To test the hypotheses, the authors use multivariate regression on panel data.

The findings provide robust evidence regarding the impact of audit mechanisms on EM practices. The presence of accounting and finance experts within the AC is shown to have a substantial and statistically significant effect in reducing EM practices. Similarly, AC independence demonstrates a negative association with EM after the implementation of the SRCGs 2017. However, the study does not uncover any statistically significant impact of AC size and meeting frequency on EM practices. Moreover, the research highlights a noteworthy positive relationship between EM practices and engagement with BIG 4 audit firms before the SRCGs 2017. However, this relationship ceases to exist following the regulatory amendment.

The practical implications of this research are significant for policymakers and companies operating in Saudi Arabia, as well as for practitioners and auditors working in the region. The findings underscore the importance of high-quality auditing work to prevent EM practices and promote transparent financial reporting. The study recommends increasing the number of independent members and financial experts on the AC, as well as rigorous monitoring of AC size and meetings. It also emphasizes the need for compliance with governance regulations to focus on effective monitoring of the AC rather than mere fulfillment of requirements.

The study enhances the existing literature on the effectiveness of ACs and external audit quality in mitigating EM by providing evidence from a unique and Islamic context that has not been extensively studied before. This can help in validating or challenging the findings of previous studies and provide a more comprehensive understanding of the factors that impact EM in different contexts.

The motivation to participate in crowdsourcing (CS) platforms is an emerging challenge. Although researchers and practitioners have focused on crowd motivation in the past, the results obtained through such practices have not been satisfactory. Researchers have left unexplored research areas related to CS pillars, such as the evolution of the crowd’s primary motivations, seekers applying effective policies and incentives, platform design challenges and addressing task complexity using the synchronicity of the crowd. Researchers are now more inclined to address these issues by focusing on sustaining the crowd’s motivation; however, sustaining the crowd’s motivation has many challenges.

To fill this gap, this study conducted a systematic literature review (SLR) to investigate and map the challenges and factors affecting sustained motivation during CS with the overcoming implications. Studies that satisfied the inclusion criteria were published between 2010 and 2021.

Important sustainable factors are extracted using the grounded theory that has sustained participation and the factors' cohesion leads to the identification of challenges that the pillars of CS face. Crowds being the most vital part of CS contests face the challenge of engagement. The results reported the factors that affect the crowd’s primary and post-intentions, perceived value of incentives and social and communal interaction. Seekers face the challenge of knowledge and understanding; the results identify the reason behind the crowd’s demotivation and the impact of theories and factors on the crowd's psychological needs which helped in sustaining participation. Similarly, the platforms face the challenge of being successful and demanding, the results identify the latest technologies, designs and features that seekers proclaim and need the platforms designer's attention. The identified task challenges are completion and achievement; the authors have identified the impact of trait of task and solving mechanisms that have sustained participation.

The study identifies, explores and summarizes the challenges on CS pillars researchers are facing now to sustain contributions by keeping participants motivated during online campaigns. Similarly, the study highlights the implication to overcome the challenges by identifying and prioritizing the areas concerning sustainability through the adoption of innovative methods or policies that can guarantee sustained participation.

Smart banking services (SBS) are critical for developing countries to achieve developmental goals. The success of SBS is dependent on the considerable perceived customer experience of provided services. Based on technology adoption studies, this study aims to model smart customer experience (SCE) outcomes by investigating the relationships between SCE, customer gratitude, continuance intentions and positive word-of-mouth (P-WOM).

The current research included 384 bank clients as participants. The data were analyzed using partial least squares structural equation modeling (PLS-SEM).

According to the findings, SCE directly increases customer gratitude, continuance intention to adopt smart services and P-WOM. Customer gratitude enhances continuance intentions and P-WOM. Additionally, customer gratitude mediates the relationship between SCE, continuance intention and P-WOM. Finally, the findings revealed that customer innovativeness and optimism play a substantial moderating impact among the variables studied.

This is the first research to include all of these variables. Furthermore, to the best of the authors' knowledge, this is the first empirical study of these linkages in the banking sector of emerging nations.

This paper addresses a crucial research need by examining the influence of compatibility, a pivotal design element for hotel concierge apps, on the socio-psychological dynamics of digital hotel guests. While prior research has examined the constructs, their application to digital concierge apps introduces a unique context. We posit that compatibility significantly influences central variables rooted in theory of planned behaviors (TPBs) and technology acceptance model (TAM), fostering positive usage intentions.

Analyzing data from 668 four-star hotel guests through PLS-SEM substantiates compatibility’s role, endorsing the theoretical amalgamation of affordance, TPB, and TAM frameworks.

Compatibility positively affected perceived ease of use, perceived usefulness, and attitude toward behavior. Besides, usage intention positively affected willingness to pay a price premium and revisit intention.

This paper adopts compatibility as a unifying force for integrating TPB and TAM; the predictive ability of digital concierges' usage intentions on revisit intentions to upscale hotels. Further, this paper is the first attempt to highlight employing compatibility as a pivotal design factor for digital concierge apps in the hospitality setting.

This study aims to investigate the determinants of sustainability reporting in the Kingdom of Saudi Arabia (KSA).

Twenty unstructured interviews were conducted to understand thoroughly the determinants and motivations of sustainability reporting among Saudi petrochemical shareholding companies.

This study finds that cultural aspects, compliance with international best practice, competitiveness, reputation and legitimacy are common motivations for sustainability reporting in KSA.

This study has significant implications for industry, especially petrochemical and other highly polluting industries, and for policymakers. There are economic benefits to industry in adopting sustainability reporting, including transparency; and it is suggested that policymakers encourage industries to give more attention to sustainability reporting.

This study provides an original contribution to the extant literature on sustainability reporting, and incrementally adds to knowledge on sustainability reporting in KSA, Gulf cooperation council and Middle East North Africa region countries.

This paper aims to investigate whether risk-related information is associated with a higher level of performance disclosure (PerfD) in the annual reports during the Covid-19 pandemic. Additionally, this paper assesses if ownership structure plays a moderating effect on the relationship between RD and PerfD.

A content analysis technique to measure the risk information and PerfD for 72 listed firms in the Abu Dhabi stock exchange and Dubai financial market for the period 2019–2021.

The authors find a significant correlation between risk disclosure and PerfD. Indeed, managers use annual reports to send a signal to the market about their abilities and skills in managing high-risk situations by disclosing more performance-related information accompanying any communicated related risk information. Besides, our results report that before the pandemic, only government ownership had a significant effect on the level of disclosure of performance-related information. However, during the pandemic, foreign ownership also played an important role to improve firm transparency. In addition, during the pandemic, Big 4 audit firms have effective quality control, and auditors would play an important role in improving the quality of disclosure. Besides, leveraged firms report more performance-related information. A high level of PerfD may play a critical role in mitigating debtholders’ concerns about firm’ ability to manage the pandemic situation and generate enough cash flows in the future to pay their debts.

This paper’s findings are highly relevant to financial reporting’ users, mainly shareholders, as they will be aware about management behaviors during the crisis and how firms are engaged in disclosure. Besides, this paper’s findings may be useful for market regulators to reinforce the role of audit quality to maintain good reporting, especially in crisis circumstances. In addition, regulators may benefit from the findings through the optimization of the ownership structure (dispersed ownership), which helps to promote transparency and disclosure.

This study aims to predict customer churn in resort hotels by calculating the churn probability of repeat customers for future stays in the same hotel brand.

Based on the recency, frequency, monetary (RFM) paradigm, random forest and logistic regression supervised machine learning algorithms were used to predict churn behavior. The model with superior performance was used to detect potential churners and generate a priority matrix.

The random forest algorithm showed a higher prediction performance with an 80% accuracy rate. The most important variables were RFM-based, followed by hotel sector-specific variables such as market, season, accompaniers and booker. Some managerial strategies were proposed to retain future churners, clustered as “hesitant,” “economy,” “alternative seeker,” and “opportunity chaser” customer groups.

This study contributes to the theoretical understanding of customer behavior in the hospitality industry and provides valuable insight for hotel practitioners by demonstrating the methods that facilitate the identification of potential churners and their characteristics.

Most customer retention studies in hospitality either concentrate on the antecedents of retention or customers’ revisit intentions using traditional methods. Taking a unique place within the literature, this study conducts churn prediction analysis for repeat hotel customers by opening a new area for inquiry in hospitality studies.