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This study aims to investigate window dressing as practiced by commercial banks in Kuwait, using monthly aggregate balance sheet data covering the period January 1993 to December 2017.

This study applies the structural time series model to decompose an observed time series into unobserved components based on monthly data covering January 1993 to December 2017 on the consolidated balance sheet of commercial banks in Kuwait.

The empirical results indicate that Kuwaiti commercial banks indulge in upward window dressing to boost size and liquidity. This kind of behaviour is indicated by a statistically significant rise in assets under the control of banks in December, followed by a statistically significant decline in January. The operation is funded by borrowing, leading to a December rise and a January fall in foreign and other liabilities, which are also under the control of commercial banks.

This study uses a novel methodology to detect window dressing based on the seasonal behaviour of balance sheet items. This study suggests a unified framework for the motives, targets, types and consequences of window dressing and how they are related.

The main purpose of this paper is to examine the adoption of big data analytics (BDA) in the Tanzania banking industry by investigating the influence of technological, environmental and organizational (TOE) factors while exploring the moderating role of perceived risk (PR).

The study employed a qualitative research design, and the research instrument was developed using per-defined measurement items adopted from prior studies; the items were slightly adjusted to fit the current context. The questionnaires were distributed to top and middle managers in selected banks in Tanzania using the snowball sampling technique. Out of 360 received responses, 302 were considered complete and valid for data analysis. The study employed partial least squares structural equation modeling (PLS-SEM) to examine the developed conceptual framework.

Top management support and financial resources emerged as influential organizational factors, as did competition intensity for the environmental factors. Notably, bank size and perceived trends showed no significant impacts on BDA adoption. The study's novelty lies in revealing PR as a moderating factor, weakening the link between technological readiness, perceived usefulness and the intent to adopt BDA.

This study extends literature by extending the TOE model, through examining the moderating roles of PR on technological factors. Furthermore, the study provides useful managerial support for the adoption of BDA in banking in emerging economies.

The purpose of this paper is to investigate the moderating effect of task complexity on external auditors’ cooperation (EAC), top management empowerment and internal auditors’ independence, which affect internal auditors’ effectiveness in the Jordanian public sector.

This paper utilised 117 usable questionnaires from financial managers and internal audit (IA) managers of the Jordanian public sector institutions. The collected data were analysed using partial least squares-structural equation modelling (PLS-SEM).

The results reveal that EAC, top management empowerment, and internal auditors’ independence are the factors which positively and significantly affect the internal auditors’ effectiveness, as supported by the resource-based theory, with incomplete support for the task complexity’s role as a moderator.

The findings are important for the decision-makers and regulators in introducing new legislation and regulation for the IA profession in the Jordanian public sector.

It is shown that the factors affecting the internal auditors’ effectiveness can definitely enhance their ability to achieve the role of IA in protecting public funds and limiting financial and administrative corrupt practices, particularly in the public sector.

To the best knowledge of the authors, this study is one of the first studies that addresses task complexity as an interaction effect on the factors affecting internal auditors’ effectiveness in the public sector.

The cognitive processes through which religiosity and idealism affect ethical consumption have received little attention in prior research. This study aims to explore the influence of religiosity and idealism on ethical purchasing intention through moral obligation and perceived customer effectiveness (PCE).

The study analyses data from 149 Muslim participants in Saudi Arabia, using structural equation modelling.

The results reveal that religiosity leads to PCE but not to moral obligation and that idealism leads to both PCE and moral obligation. Mediation analysis indicated that PCE mediates the effect of both religiosity and idealism, although moral obligation only mediates the effect of idealism.

This research enriches the understanding of ethical consumption and contributes to the debate on how religiosity and idealism affect ethical consumption. It also has significant implications for theory and the development of sustainable marketing initiatives. Marketing campaigns and other promotional activities may focus on the interconnection between ethical purchase and the religious and ideology dimensions of consumers. Also, while formulating a communication strategy, it is necessary to emphasize the religious dimension of the sustainable use of the product.

Moral obligation and PCE have been shown as cognitive and psychological mechanisms explaining the links between religiosity or idealism and ethical purchasing behaviour.

Digital health or digital healthcare, is a broad, multidisciplinary concept that includes concepts from an intersection between technology and healthcare. Digital health applies digital transformation to the healthcare field, incorporating software, hardware and services. The usefulness of digital health technologies such as digital contact tracing apps (CTAs) depends deeply on the acceptance to use them. Accordingly, the main purpose of this study is to explore the usage of CTAs by integrating the protection motivation theory (PMT) and technology acceptance model (TAM) in the Jordanian context.

Partial least squares structural equation modelling was employed to test empirically the integrated research model against data collected from 420 respondents, leading to the identification of the important determinants for the usage of CTAs.

The results reveal that perceived severity and perceived vulnerability have a significant positive impact on the perceived need for CTAs, which, in turn, affects the individuals’ intention to use CTAs. It also reveals that perceived trust in government, perceived privacy and perceived usefulness have a significant positive impact on individuals’ intention to use CTAs, which, in turn, affects the usage of CTAs. In contrast, perceived ease of use did not find any significant relationship, and hence hypothesis H7 was not supported. Lastly, social media awareness has a significant positive impact on perceived usefulness and ease of use.

This study is considered among the first studies in the Jordanian context that integrate the PMT and TAM to gain a better understanding of the critical determinants for the acceptance and usage of CTAs in the context of pandemics.

Using a dynamic capability view, this study examined the relationships between big data analytics capability (BDAC), entrepreneurial orientation (EO) and sustainable supply chain performance (SSCP) by exploring the moderating role of trust among supply chain partners.

Questionnaires were collected from 300 manufacturing organizations using snow sampling. The moderating connections and direct relationships were examined using Hays' process macro and structural equation modeling.

BDAC was positively related to EO and SSCP. When supply chain partners experienced low levels of trust, an increase in BDAC did not enhance SSCP. As trust increased, the relationship between BDAC and SSCP became more positive, underpinning the moderating effects of trust. Moreover, trust did not moderate the relationship between BDAC and EO. The moderating effect of trust on the relationship between EO and SSCP showed a positive relationship between EO and SSCP when trust was low; however, the relationship became negative when trust was high.

Developing technology alone may not be sufficient, as supply chain managers need to establish a strong business relationship based on mutual trust. However, they also need to be aware of the dangers of high levels of trust because these may negatively affect performance. Therefore, supply chain managers need to achieve an optimal level of trust that is neither excessive nor insufficient.

Advances in technology and entrepreneurial drive for supply chain sustainability make it pertinent to examine trust levels among supply chain partners and the varying impact on BDAC, EO and SSCP. The current study shows the negative aspects of too much trust among supply chain partners.

In the modern business world, the main focus of the organizations is to improve the quality of the products and minimize the wastage of raw material. Keeping in view the green theory and improve the efficiency of the organization, the focus of the current study is to investigate the relationship between total quality management (TQM) and green innovation (GI), and examine how TQM practices can facilitate firms to achieve GI objectives. Corporate social responsibility (CSR) is also an important factor for organizations, and this study also focuses on the mediating role of CSR between the relationship of TQM and GI.

This is an empirical study. Data were gathered from the top management of 355 SMEs working in Pakistan through a questionnaire survey; the PLS-SEM approach was used to analyse the data.

Results of the study show that TQM has significant impacts on two aspects of GI namely green product innovation and green process innovation. Moreover, results also reveal that CSR partially mediates the relationship between TQM and GI.

This study is limited to manufacturing SMEs and future research should test this model on non-manufacturing sector too. The findings of the study provide significant roadmap to the management of small and medium-sized manufacturing firms that how they can reduce wastage and improve the product and process innovation in their organizations through TQM and CSR.

This study contributes to bridging research gaps in the literature and advances how TQM, directly and indirectly, help firms improve green innovation via mediating roles of CSR.

Given the importance of frugal innovation for small and medium-sized enterprises (SME) in developing countries, this study aims to explore the role of IT resources on frugal innovation through the mediating roles of knowledge sources and to what extent the relationship between sources of knowledge and frugal innovation is strengthened or weakened under the moderating effects of market turbulence.

This is an empirical study. Data were gathered from 355 SME employees of Pakistan through a questionnaire survey; the variance-based PLS-SEM approach was used to analyze the data.

Findings reveal the significant impacts of IT resources on different aspects of frugal innovation, namely, frugal functionality (FF), frugal cost (FC) and frugal ecosystem (FE). Moreover, the paper highlights the mediating roles of sources of knowledge in the relationship between IT resources and frugal innovation in frugal functionality and frugal cost. Findings also revealed that the moderation of market turbulence strengthens the effects of sources of knowledge on frugal functionality and ecosystem, but surprisingly weakens the relationship between sources of knowledge and frugal cost.

To bring a deeper understanding of the significant role of IT and knowledge sources, future research should examine the potential moderating role of environmental factors or perceived organizational support or mediating role of knowledge management processes in the relationship between IT resources and frugal innovation.

The paper provides a valuable understanding and novel approach for directors of SMEs in developing countries to improve their frugal innovation capability through IT and knowledge resources.

This study contributes to bridging research gaps in the literature and advances how IT resources, directly and indirectly, help firms improve frugal innovation capability via mediating roles of sources of knowledge.

Present research aims to study the determinants of big data analytics (BDA) adoption intention and outsourcing in the context of small and medium-sized enterprises (SMEs).

The partial least squares approach was employed to analyse data collected from 187 SMEs.

The findings indicate that relative advantage, competitive pressure and environmental uncertainty significantly influence SMEs' BDA adoption intention. Top management support moderates the association between the regulatory environment and BDA adoption intention. Furthermore, organisational readiness moderates negatively the association between BDA adoption intention and propensity to outsource BDA.

The findings benefit SMEs' managers/owners in making well-informed decisions in the BDA adoption process.

The majority of the previous research on BDA adoption intention is limited to large corporations. To address the gap on determinant factors of BDA adoption intention among SMEs, the drivers of BDA adoption intention and propensity to outsource were investigated using the technology-organisation-environment model.

In light of the repercussions of the COVID-19 pandemic, electronic auditing otherwise known as computer-assisted audit tools and techniques (CAATTs) has become inevitable to automate the auditing process worldwide. Accordingly, the purpose of this study is to examine the influence of technological, organizational and environmental (TOE) factors on public sector adoption of CAATTs in developing countries such as Jordan under the COVID-19 pandemic conditions.

This study used 136 usable responses from the managers of internal audit (IA) of the Jordanian public sector entities. The data collected were analyzed using partial least squares-structural equation modeling. The TOE framework has been used in this study to consider a wide set of TOE factors. Then, this study suggests a CAATTs adoption model that incorporates the related technology factors of the diffusion of innovation theory to environmental and organizational factors. Further, this study contributes to the TOE framework by addressing government regulations, audit bodies’ support and audit task complexity as environmental factors affecting CAATTs adoption in the context of the public sector.

The results revealed that for technological factors, only the compatibility affects CAATTs adoption by the IA departments. For organizational factors, organizational readiness, top management support, auditors’ information technology competency and entity size were found to be significant factors. From the environmental factors, both government regulation and audit task complexity influence the CAATTs adoption. Besides, entity size moderates the influence of top management support on the CAATTs adoption in the public sector.

The findings could highlight the significance of the CAATTs adoption in the public sector institutions (by internal auditors) post-COVID-19, taking into consideration the TOE framework’s factors. Also, the findings are significant for the decision-makers and regulators in declaring new legislation for the electronic IA profession in the Jordanian public sector.

It turns out that the CAATTs adoption in the public sector can definitely enhance their ability to achieve the role of IA in preserving public funds and restricting corrupt practices within the public sector.

To the best of the authors’ knowledge, this study is one of the first studies that address the professional audit agency support and audit task complexity as environmental factors, as well as the entity size as an organizational factor, that affect CAATTs adoption in the IA department of the public sector.