Search results

This study aims to evaluate and summarize the effectiveness of cognitive behavioral therapy (CBT) and internet-based CBT (ICBT) interventions on relapse prevention and severity of symptoms among individuals with major depressive disorder (MDD). CBT is one of the most used and suggested interventions to manage MDD, whereas ICBT is a novel effective proposed approach.

The review was conducted following the preferred reporting items for systematic review and meta-analysis protocol. A comprehensive and extensive search was performed to identify and evaluate the relevant studies about the effectiveness of CBT and ICBT on relapse prevention and severity of symptoms among patients with MDD.

A total of eight research studies met the inclusion criteria and were included in this systematic review. RCT studies were conducted to assess and evaluate the effectiveness of CBT and ICBT on relapse prevention and severity of symptoms among patients with MDD. It has been found that CBT is a well-supported and evidently based effective psychotherapy for managing depressive symptoms and reducing the relapse and readmission rate among patients diagnosed with MDD. The ICBT demonstrated greater improvements in depressive symptoms during major depressive episodes among patients with MDDS. The ICBT program had good acceptability and satisfaction among participants in different countries.

Despite the significant findings from this systematic review, certain limitations should be acknowledged. First, it is important to note that all the studies included in this review were exclusively conducted in the English language, potentially limiting the generalizability of the findings to non-English speaking populations. Second, the number of research studies incorporated in this systematic review was relatively limited, which may have resulted in a narrower scope of analysis. Finally, a few studies within the selected research had small sample sizes, which could potentially impact the precision and reliability of the overall conclusions drawn from this review. The authors recommend that nurses working in psychiatric units should use CBT interventions with patients with MDD.

This paper, a review of the literature gives an overview of CBT and ICBT interventions to reduce the severity of depressive symptoms and prevent patients’ relapse and rehospitalization and shows that CBT interventions are effective on relapse prevention among patients with MDD. In addition, there is still no standardized protocol to apply the CBT intervention in the scope of reducing the severity of depressive symptoms and preventing depression relapse among patients with major depressive disorder. Further research is needed to confirm the findings of this review. Future research is also needed to find out the most effective form and contents of CBT and ICBT interventions for MDD.

CBT is a psychological intervention that has been recommended by the literature for the treatment of major depressive disorder (MDD). It is a widely recognized and accepted approach that combines cognitive and behavioral techniques to assist individuals overcome their depressive symptoms and improve their overall mental well-being. This would speculate that effectiveness associated with several aspects and combinations of different approaches in CBT interventions and the impact of different delivery models are essential for clinical practice and appropriate selection of the interventional combinations.

This systematic review focuses on the various studies that explore the effectiveness of face-to-face CBT and ICBT in reducing depressive symptoms among patients with major depressive disorder. These studies were conducted in different countries such as Iran, Australia, Pennsylvania and the USA.

This study aims to apply machine learning (ML) to identify new financial elements managers might use for earnings management (EM), assessing their impact on the Standard Jones Model and modified Jones model for EM detection and examining managerial motives for using these components.

Using eXtreme gradient boosting on 23,310 the US firm-year observations from 2012 to2021, the study pinpoints nine financial variables potentially used for earnings manipulation, not covered by traditional accruals models.

Cost of goods sold and earnings before interest, taxes, depreciation and amortization are identified as the most significant for EM, with relative importances of 40.2% and 11.5%, respectively.

The study’s scope, limited to a specific data set and timeframe, and the exclusion of some financial variables may impact the findings’ broader applicability.

The results are crucial for researchers, practitioners, regulators and investors, offering strategies for detecting and addressing EM.

Insights from the study advocate for greater financial transparency and integrity in businesses.

By incorporating ML in EM detection and spotlighting overlooked financial variables, the research brings fresh perspectives and opens new avenues for further exploration in the field.

Shorter lead time with low price and quality product demand is pivotal in the garment industry. Pressure on production lead time stresses the importance of reducing style changeover time in manufacturing factories, and this paper aims to contribute to solving the challenge by showing how the single minute exchange of die (SMED) methodology in practice can be adapted to garment factories in developing countries.

The paper investigates three cases of SMED implementation integrated with responsible, accountable, consulted, informed (RACI) matrices in garment factories in an action research approach. Both quantitative and qualitative methods are applied.

The study shows a reduction of 50% to 64% of changeover time with SMED implementation measured with two key indicators – throughout time and time to reach peak production. Moreover, the implementation depends on the application of the RACI matrix for the distribution of responsibility as well as integration with the basic production flow before and after the application of SMED.

The study can guide better SMED implementation in garment factories with limited investment by stressing the need to adapt to the specifics of the garment industry, secure the division of responsibility and integrate SMED in the production flow before and after the changeover.

Limited research on the application of SMED in the garment industry. This paper contributes to understanding the specific conditions for successful implementation in the garment industry in developing countries and addresses additional activities that help secure a sustainable implementation process.

This study aimed to investigate the relationship between exploitative leadership (EL) and employee green innovative behavior (GIB) in the hospitality sector organizations of Pakistan. The relationship between EL and GIB is mediated by emotional exhaustion (EE). Perceived organizational support (POS) is used as a moderator between EL and EE.

The study used convenience and purposive sampling techniques from the population, and the data collected on the structured questionnaire were analyzed through structural equation modeling (SEM) using SmartPLS. The data analysis involved the assessment of the measurement model and structural model.

The results of the data analysis show that EL has a significant and negative influence on employee GIB, and EE mediates the relationship, meaning EE caused by EL lowers GIB. The moderating effect of perceived organization support between EL and EE also lowers the effects of EL and diminishes EE leading to increased GIB.

The findings of the study suggest that organizations in the hospitality sector like hotels and resorts need to focus on the POS to curb EE in employees due to EL to accelerate positive attitudes at work. Investments of resources in this avenue can enhance employee engagement and improve organizational performance while contributing to environmentally sustainable goals.

The originality of the study lies in the findings that in the presence of higher perceived organization support, the negative effects of EL are mitigated, and this leads to the replenishment of the emotional resources of employees, which allows them to engage in GIBs. GIB is a term that is being researched by the scholars in the hospitality industry of Pakistan. Conservation of natural resources is only possible through individual efforts, especially the efforts of individuals whose livelihoods depend on environmentally related industries, such as hospitality.

This study aims to investigate how e-health system characteristics (information quality, system quality, perceived ease of use, perceived usefulness) contribute to the enhancement of medical staff performance, patient care, and doctor–patient relationships at UNRWA-Gaza healthcare centers. It aims at testing an integrative single model comprising Technology Acceptance Model (TAM), D&M model and e-health system utilization.

This study followed the quantitative methodology and the deductive research approach. Data were collected from 241 medical staff who use the system employed in 19 different healthcare centers across the Gaza Strip. Partial least square/structural equation modeling technique was used to analyze the collected data and to test study hypotheses.

Study concluded that information quality of the adopted Health Information System (HIS) has both direct and indirect positive impact on staff performance, only direct positive impact on patient care and only positive indirect impact on doctor–patient relationship. System quality, on the other hand, was found to have negative direct impact and positive indirect impact on staff performance and has both direct and indirect positive impact on both doctor-patient relationship and patient care.

Noteworthy that HIS has availability, speed and error detection and error prevention issues. It is recommended that these shortfalls be addressed together with improving user perception towards ease of use and usefulness of the system.

Management should also work to raise confidence in its medical staff to improve the effect of HIS on medical performance and patient care. It is also recommended that UNRWA should implement crowed management techniques such as queuing systems and on-phone booking to minimize patient waiting time.

The importance of the study stems from its context being conducted in a developing region (Gaza Strip-Palestine) which has a fragile economic, political and social environment with many other complexities. It is also conducted at United Nations Relief and Work Agency (UNRWA) healthcare centers, which provide medical services to Palestinian refugees. In addition, this study is among the few studies that address the impact of individual e-health success factors on both doctor-patient relationship and patient care constructs. Most previous studies concentrated on the impact of health system adoption as a whole on these two subject variables and one can hardly ever stop at studies that address effect of individual success factors on them. It also integrated both D&M system success model and TAM model with some additional amendments creating and tested a new model.

The digital transformation of family-owned small businesses (F-OSBs) has become a critical area of research to maintain their economic contribution in today’s rapidly evolving digital landscape. This study examines the effect of internet entrepreneurial self-efficacy on the digital transformation of F-OSBs by mediating strategic agility and moderating artificial intelligence usage.

This study employed a cross-sectional survey design to collect primary data from 378 descendent entrepreneurs of F-OSBs in Pakistan’s five major cities.

The study revealed that leadership ability, internet marketing, technology utilization, and artificial intelligence used by the F-OSBs can contribute to their digital transformation, but e-commerce ability does not. The strategic agility of the descendant entrepreneur enhances the abilities of e-commerce, leadership, and technology utilization, leading to the digital transformation of F-OSB. However, strategic agility reduces the role of Internet marketing in digital transformation. Artificial intelligence usage moderates leadership’s ability to improve strategic agility but increases technology utilization for strategic agility and digital transformation of F-OSB.

The digital transformation through a combination of strategic agility and artificial intelligence can increase the F-OSBs' proactive approach to respond to changing market conditions even during economic recessions like COVID-19.

This study broadens the existing literature by examining the effect of descendent entrepreneur’s internet entrepreneurial self-efficacy, strategic agility, artificial intelligence usage, and their interplay on the digital transformation of F-OSB through the unified theory of acceptance and the use of technology.

The purpose of this paper is to identify drivers and deterrents to sustainable procurement (SP) via field-level inquiry in the context of public sector higher education institutes in an emerging economy like Pakistan.

Unstructured interviews guided by the interview guide were conducted. The participants were selected via purposive sampling. A three-step process was carried out for data analysis. The first-order codes were generated from the views expressed by the informants. The descriptive codes (second-order categories) were developed, providing insights into the main factors. These codes helped to generate the third-order themes related to drivers and deterrents of SP.

The results reveal that interdepartmental cooperation is the most discussed driver, followed by government regulations. The most noted deterrents include a lack of interdepartmental cooperation, a lack of environmental laws and resistance to change. The participants have highlighted interdepartmental coordination as both a driver if available and a deterrent if not available.

The identified drivers and deterrents shall help the managers and policymakers as a guide while transitioning from traditional procurement to SP.

With the increased focus of the higher education commission Pakistan on implementing green practices in higher educational institutes, this study proposes the understanding of a systematic and holistic view of SP by proposing a theoretical framework.

This study aims to improve the theory of planned behavior (TPB) model by incorporating electronic word of mouth (E-WOM) as a factor influencing attitude (ATT), subjective norms (SN) and perceived behavioral control (PBC). The main goal is to study Generation Z’s intention to purchase halal cosmetics. In addition, the research examines how halal product knowledge (HPK) influences the relationships between ATT, SN, PBC and the purchase intention of halal cosmetics.

Data were collected using self-administered questionnaires from two superstores in Karachi, Pakistan, with 265 valid responses. Convergent and discriminant validity analyses were performed to ensure validity and reliability, and variable relationships were assessed using structural equation modeling.

The results revealed that EWOM significantly influences ATT, SN and PBC. ATT and PBC both significantly affect purchase intention (PI), while SN has a nonsignificant influence on PI. In addition, the study found HPK only moderates the association between ATT and PI, while moderating influence HPK does not exist in the relationship between (SN and PI) and (PBC and PI).

This study focuses on the Halal cosmetics industry in Pakistan and explicitly targets Generation Z individuals in a particular cultural environment. The aim is to examine how applying the same research design in different sectors and countries can lead to different results. In addition, the study primarily includes Gen Z consumers of halal cosmetics. Collecting data from other generational groups for future studies, such as generations X and Y, would be interesting.

This research contributes to the existing literature on halal consumption by introducing the concept of E-WOM as a factor within the TPB model. This study is particularly groundbreaking as it examines how Gen Z Pakistani Muslim consumers’ behavioral intentions toward halal cosmetic products are influenced by their HPK using the TPB model. Additionally, the paper presents an extended TPB modeling framework that could be valuable to researchers, marketers and halal experts.

This paper aims to investigate the effect of governance mechanisms and firm performance on chief executive officer (CEO) compensation in relation to the Jordanian business environment. This study also examines the moderating role of gender diversity.

The sample is drawn from the annual reports of 68 Jordanian firms between 2015 and 2019. This paper uses the ordinary least square regression. It also uses the generalised method of moments approach to control any endogeneity issue and analyses the data in depth. In addition, it uses a dynamic model to address concerns regarding causality in the study’s models.

The results show that governance mechanisms and firm performance have an impact on CEO compensation. Furthermore, the outcomes indicate that gender diversity significantly and positively moderates the association between firm performance and CEO compensation. These findings enhance and support agency theory in the context of Jordan.

The study’s results have significant implications for policymakers, shareholders, investors, academicians and the public in the developing Jordanian market. The findings also support more monitoring and inspection to prevent the occurrence of opportunistic management behaviour and ensure that CEO remuneration packages are appropriately designed.

This study provides a unique understanding by explaining the impact of governance and performance on CEO compensation in a developing country such as Jordan. Besides that, the current study extends prior studies in Jordan significantly.

The purpose of this study is to develop an extended theory of planned behavior (TPB) model by adding religious commitment (RC) and self-efficacy as internal variables and investigating the effect of these variables on attitudes toward halal cosmetics. In addition, this study also examined the moderating role of halal literacy in the relationships between attitudes (ATT), subjective norms (SN), perceived behavioral control (PBC) and intentions to purchase halal cosmetics.

The method of data collection used was self-administered surveys with customers in two stores in Karachi, Pakistan, yielding 267 valid questionnaires. To guarantee validity and reliability, convergent and discriminant validity analyses were conducted, and structural equation modeling was advanced to assess the relationships between variables using smart partial least squares 3.0 software. The interaction moderation technique has been used to examine the moderating effect of halal literacy on the purchase intention (PI) of halal cosmetics.

The results show that RC and self-efficacy both significantly impact the attitudes of Gen Y. Normative beliefs also had a significant relationship with SN. Further, ATT and SN had a significant relationship with PI of halal cosmetics, while PBC was nonsignificant. Furthermore, halal literacy is found to have a positive moderating influence on ATT and PI, and SN and PI. Finally, the moderating effect of halal literacy does not exist in the relationship between PBC and PI.

Participants’ characteristics should vary for future studies, and larger sample sizes may yield different results. It is critical for managers working in the cosmetic industry to monitor Muslim consumption patterns to develop strategies to reach Muslim consumers. This study reveals the effect of RC, self-efficacy and the moderating role of halal literacy on the behavioral attitudes of a booming market sector, which can guide marketing managers in developing more effective advertising campaigns.

This paper contributes to the halal consumption literature by exploring RC and self-efficacy as constructs for the very first time in the TPB model. To the best of the authors’ knowledge, this study is the first to explore the influence of halal literacy on Gen Y Pakistani Muslim consumer behavioral intention toward halal cosmetic products using the TPB model. The paper offers an extended TPB model framework that may be of interest to scholars, marketers and policymakers.