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The purpose of this paper is to test social exchange in the presence of perception about organizational support theory.

Data have been collected through a questionnaire survey at a primary level and were analyzed primarily by smartPLS.

Results show that all relationships among study variables are highly responsive to the perception about organizational support. Nonmonetary rewards create reciprocity of employee performance (EP), but their magnitudes get affected where practioners need to pay specific attention on employee perception about organizational discretionary arrangements.

The sample size for this study was taken only 10 percent from the top ten banking organizations and these organizations were selected from three big cities only including two provincial capitals. Purposive/judgmental sampling technique is being used for the data collection purpose. As moving out from these cities earning opportunities, langue and behaviors are different; so, the results cannot be generalized to the entire country and other industries.

All managers who are intended and assigned for the increase in overall firms’ performances can achieve their targets and goals by focusing on decision-making participation (DMP) through job satisfaction. Further to this, in order to increase the strength of exchange relationship where firms can introduce DMP to increase employees’ performance, perception about organizational support (if it is to be focused) to its workers well-being can yield and induce employees to perform more.

This study ensures researchers not to forget to check the impact of perceived organizational support during a discussion on social exchange and more specifically nonmonetary part of the exchange. This study suggests the way to increase employee outcomes is by focusing on the employee perception about the organizational care about them and involving them in DMP which does not involve any monetary benefits and ultimately managers and organizations can concentrate on these points to have the overall increase in EP, while keeping themselves in limited or available budgets/resources.

Purpose: To investigate the key technologies facilitating the transition towards Industry 5.0 and analysing the contributions of Nvidia, a prominent leader in this field, to these technological advancements.

Significance of the study: Technology companies such as Nvidia play a critical role in this transformation through their innovative solutions. This study addresses the need to understand this evolving landscape and the significant impact of the Nvidia.

Methodology: This study is a qualitative approach that examines the existing literature and secondary case studies pertaining to Industry 5.0, and Nvidia. This study examines Nvidia’s high-performance graphics processing units (GPUs), the digital twin platform Omniverse, and the humanoid robot technology development platform, Isaac.

Findings: The next generation of GPUs with the Blackwell architecture is expected to further advance the development of large language models. The Nvidia Omniverse platform contributes significantly to the development of digital twins, a crucial technology for Industry 5.0. The Nvidia Isaac platform focuses on the development of humanoid robot technology, which is a key component of Industry 5.0. Utilizing realistic simulations with Isaac Sim, imitating human behavior with GR00T, and leveraging the high-performance processing power of Jetson Thor, the platform facilitates the creation of robots capable of safe and effective human–robot collaboration. Nvidia has emerged as a leader in the artificial intelligence (AI), robotics, and gaming sectors because of its innovative and agile company culture.

Practical implications: Companies can leverage Nvidia’s technological solutions to optimize production processes and enhance both efficiency and sustainability. The human–machine collaboration emphasized by Industry 5.0 will necessitate the reshaping of workforce skillsets and operational approaches.

This study provides a unique integrated diagnosis system to investigate the causes of low productivity, profitability, machinery health conditions and wear severity of medium-size biscuit industry assets in Taiz, Yemen.

The evaluation is based on an integrating of the overall equipment effectiveness (OEE) and oil-based maintenance (OBM) approaches. The data are collected using the company's operational records, interviews and observations, while the used lubricating oil samples are also collected from production lines' machineries. Scanning electron microscope (SEM) is used to study the wear debris particle features and wear mechanism. Different other analysis tools such as fishbone, 5 whys and Pareto charts are also used to investigate the root causes and plausible recovery solutions of machinery failures.

This study demonstrated that a large proportion of machinery failures and production loss are of management concerns. Also, this study inferred that the analysis of wear debris is unique and informative for determining machinery wear severity and useful life. Finally, the current conditions of production lines are clarified and suggestions to use a mixed preventive/predictive maintenance management approach are also elucidated.

This work implemented an integrated OEE/OBM diagnostic maintenance system to investigate the root causes of low productivity and machine failures in real production lines and suggested robust decisions on the maintenance duties.

Despite Bangladesh’s continued attempts, gender disparity in the workplace has long been a concern, and progress has been slow. Studies conducted earlier indicate that working women in Bangladesh experience an unwelcoming work environment, leading to unequal pay and limited opportunities for their career growth. Academic literature focuses little on the connection between gender and the physical work environment. This chapter focuses on the connection between the masculinist culture of organizations, how work is carried out, and workplaces are set up, illuminating the crucial role played by the built environment in maintaining gender equality. Infrastructure, spatial design, safety measures, amenities, and the biased culture often influence the obstacles to women’s long-term success in the workplace. This chapter investigates and comprehends the constraints female employees encounter in Bangladesh during their work by scrutinizing the influence of the physical space and the biased socio-psychological environment. As women’s long-term professional progress depends on how these elements are interrelated, improving the environment is the first step toward a fairer and more empowered work environment. A qualitative approach has been used in this study. Seventy-eight Bangladeshi graduate, working women have participated in this research. The results show that, regardless of efforts, the environment in Bangladeshi workplaces is inhospitable, directly affecting women’s careers. Building a welcoming workspace accommodating all genders is crucial for creating gender parity and promoting long-term professional growth. Therefore, this research suggests that the government should capitalize on successful efforts and investigate alternative techniques to improve this issue.

The aim of this study was to conduct a systematic literature review (SLR) on vlog marketing. The focus was to analyse the major themes in this field and provide insights for future research directions.

The authors reviewed a total of 49 peer-reviewed publications that include the search terms “vlog” or “video blog” in their titles, keywords and abstracts, retrieved from digital databases Scopus and Web of Science, up to the end of July 2023. Thematic analysis was used to examine and synthesise the articles.

The authors found 19 sub-themes and identified four major themes that emerged from the literature: (1) endorsement outcomes, (2) vlogger characteristics, (3) consumer credibility and (4) vlog content crafting.

There are many unanswered questions in the literature, suggesting that vlog marketing research is still in its infancy, and that in-depth further studies are required for a more comprehensive understanding of the field. This study has identified potential avenues for future research that may contribute to the existing body of knowledge and valuable insights on vlog marketing.

The purpose of this study is to scrutinize the extent of forward-looking (FL) disclosures and explore the impact of corporate governance (CG) on FL disclosures in integrated reporting (IR) in the context of the banking industry in Bangladesh.

Twenty-two listed banks in the Dhaka Stock Exchange (DSE) are selected as a sample from 2018 to 2022. For content analysis purposes, the study has developed an unweighted self-constructed disclosure index with 58 items and extracted data manually from the integrated annual report. Furthermore, descriptive statistics is conducted to analyze the extent of FL disclosures, and a pooled ordinary least squares regression model is used to examine the impact of CG (directors’ ownership, institutional ownership, foreign ownership, board of directors, independent directors, female directors and audit quality) on the FL disclosures.

This study reveals that the banking industry’s average FL disclosure score is only approximately 43%, indicating a meager degree of disclosures in Bangladesh’s well-structured sector. This study also finds that directors’ ownership, foreign ownership, female directors and audit quality have a statistically significant and positive relationship with FL disclosures at a 5% significance level. By contrast, institutional directors and the board of directors have a substantial but negative impact on FL disclosures. However, the other exponential variable, independent directors, has no impact on FL disclosures.

This study has some limitations, such as: i) the sample size is restricted to 22 banks, whereas nearly 36 banks are listed in the DSE. The sample size should be increased for better results. ii) The study only considers the banking sector with a small sample, but other sectors have been omitted from the sample. iii) The data have been extracted from the annual report, but other relevant sources such as banks’ websites, prospectuses, press releases, and media releases are not considered. iv) Finally, the self-constructed unweighted disclosure index is affected by subjective judgment. For depth analysis, a weighted method for content analysis purposes will be applicable.

Since there is no specific guideline for FL disclosures, this study suggests that the practical implication is for the regulatory body and policymakers to take the initiative to design a framework for FL disclosures that will improve disclosure quality. Second, they can investigate the independent director’s role in the banking sector to discover the existence of old-boy network problems.

Investors will benefit from the proper judgment about the firm’s forward-looking disclosures, hence making effective decisions.

To the best of the authors’ knowledge, no particular study has been conducted on CG mechanisms and FL disclosures in the IR perspective of the banking sector in Bangladesh. So, this study may contribute to the existing literature.

In the highly competitive business landscape, manufacturing firms need to adopt an effective manufacturing strategy to attain a successful world-class manufacturing status. Over the past few decades, the lean manufacturing (LM) approach has gained recognition as one of the foremost strategies for enhancing performance. However, the implementation of LM poses significant challenges due to several barriers. The purpose of this paper is to investigate the primary barriers to lean implementation within the apparel industry.

This paper used an exploratory study approach, using a three-part structured questionnaire to assess the level of agreement on different lean barriers. The measurement of these barriers was conducted using a five-point Likert scale. Empirical data were collected from 177 apparel companies located in Bangladesh.

The findings of the research highlight that the primary obstacles to implementing LI include a lack of understanding of the lean manufacturing system (LMS), the manufacturing process, the company culture and resistance from employees.

This paper could potentially limit the generalizability of this research, as it exclusively examines a single manufacturing sector – the apparel industry.

This paper will help practitioners in finding solutions to resolve discrepancies between current manufacturing practices and the LMS.

This paper fulfills an identified need to examine the extent of lean adoption within the apparel industry of Bangladesh.

One of the most neglected sources of energy loss is streetlights that generate too much light in areas where it is not required. Energy waste has enormous economic and environmental effects. In addition, due to the conventional manual nature of operation, streetlights are frequently seen being turned ‘ON’ during the day and ‘OFF’ in the evening, which is regrettable even in the twenty-first century. These issues require automated streetlight control in order to be resolved. This study aims to develop a novel streetlight controlling method by combining a smart transport monitoring system powered by computer vision technology with a closed circuit television (CCTV) camera that allows the light-emitting diode (LED) streetlight to automatically light up with the appropriate brightness by detecting the presence of pedestrians or vehicles and dimming the streetlight in their absence using semantic image segmentation from the CCTV video streaming. Consequently, our model distinguishes daylight and nighttime, which made it feasible to automate the process of turning the streetlight ‘ON’ and ‘OFF’ to save energy consumption costs. According to the aforementioned approach, geo-location sensor data could be utilised to make more informed streetlight management decisions. To complete the tasks, we consider training the U-net model with ResNet-34 as its backbone. Validity of the models is guaranteed with the use of assessment matrices. The suggested concept is straightforward, economical, energy-efficient, long-lasting and more resilient than conventional alternatives.

This study aims to examine how affective and technological attitudes influence tourists’ intentions to use ride-sharing services. The authors also explore the moderating effects of perceived freedom and digital literacy on these relationships.

The sample consisted of local and international tourists using ride-sharing services in Bali, Indonesia. The authors used convenience sampling to distribute questionnaires to the respondents, collecting 258 responses. Out of these, 222 responses were fully completed and suitable for analysis.

The results revealed that hedonia, eudaimonia, technophilia and technophobia each differently influence tourists’ intentions to use ride-sharing services. Perceived freedom and digital literacy moderate the strength of these relationships.

This research builds on previous studies by investigating how various aspects of happiness affect tourists' intentions to use ride-sharing services. It also emphasizes the role of perceived freedom and digital literacy in moderating the relationship between happiness, technology adoption attitudes and ride-sharing intentions.

This study contributes to the existing ride-sharing literature by integrating two dimensions of affective attitude (hedonia and eudaimonia) and technology adoption attitude (technophilia and technophobia) to examine their effects on tourists’ intentions to use ride-sharing services.