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This research examined the effects of meeting leader behavior on organizational meetings. Two studies investigated whether leader behavior that satisfies the psychological needs of meeting attendees, leads to higher levels of meeting productivity and satisfaction. Study 1 used correlational methods, with regression- based mediation analysis, to assess whether satisfaction of attendee needs mediated the association between leader behavior and attendee ratings of actual meetings in a sample of 110 employees. Study 2 involved an analogue experiment with 158 employees to test the effects of leader behavior on ratings of hypothetical meeting scenarios. The studies provide correlational and experimental evidence for the positive impact of needs-focused behaviors, offering organizational leaders practical solutions for improving meetings.

The purpose of this study is to investigate the intellectual capital disclosure (ICD) practices of financial institutions in an emerging economy of Bangladesh.

Based on 93 items of intellectual capital categorized into internal capital, external capital and human capital, ICD index is developed for 53 financial institutions listed in Dhaka Stock Exchange. This study uses descriptive statistics to analyze ICD practices, and parametric and non-parametric tests to analyze the variation of ICD practices in terms of different categories as well as in terms of different sectors.

Results indicate that more than 70% of ICD items are generally not disclosed by financial institutions in Bangladesh. The highest of 36% of external capital disclosure items are disclosed, whereas the lowest of 18% of human resource capital elements are disclosed. Furthermore, results find the significant variability of ICD practices in terms of different intellectual capital categories and in between banking companies and non-banking financial institutions.

Findings have critical implications for managers, policymakers and regulators for setting appropriate strategies and regulations for improving the level of ICD, which, in turn, may reduce the information asymmetry problems of financial institutions as well.

In-depth analysis about variability of ICD practices creates value in the ICD literature by highlighting strategic priority of financial institutions to disclose information about the strategic resources in unique emerging economic settings such as Bangladesh.

Older adults who are or have been incarcerated constitute a growing population in the USA. The complex health needs of this group are often inadequately addressed during incarceration and equally so when transitioning back to the community. The purpose of this paper is to discuss the literature on challenges older adults (age 50 and over) face in maintaining health and accessing social services to support health after an incarceration and to outline recommendations to address the most urgent of these needs.

This study conducted a narrative literature review to identify the complex health conditions and health services needs of incarcerated older adults in the USA and outline three primary barriers they face in accessing health care and social services during reentry.

Challenges to healthy reentry of older adults include continuity of health care; housing availability; and access to health insurance, disability and other support. The authors recommend policy changes to improve uniformity of care, development of support networks and increased funding to ensure that older adults reentering communities have access to resources necessary to safeguard their health and safety.

This review presents a broad perspective of the current literature on barriers to healthy reentry for older adults in the USA and offers valuable system, program and policy recommendations to address those barriers.

This paper aims to investigate the relationship linking hard technology innovation with the high-quality development (HDP) of SRDI firms. SRDI firms are typically classified as medium-sized to moderately scaled businesses renowned for their specialized, refinement, differentiation and innovation (SRDI), with a focus on providing exceptional products or services to gain a competitive advantage in specific market segments. These firms are dedicated to expanding market share and enhancing innovation capacities both locally and globally. The research also aims to scrutinize the contextual effects of digital transformation within this framework.

Hard technology innovation consists of three essential components: innovative characteristics, newly developed technology-based intellectual property rights and the volume of R&D initiatives. The evaluation of HDP was performed utilizing the entropy method, with a specific emphasis on assessing value creation and value management capabilities. Subsequently, this study explores the impact of technological innovation on the HDP of firms using a dual-dimension fixed effects model.

Every aspect of hard technology innovation is essential for promoting the HDP of businesses. The digital transformation of businesses exerts a heterogeneous moderating influence in this process. This is evident in the constructive impact on the connection between innovation attributes and the volume of fruitful R&D initiatives, as well as the HDP of firms. Conversely, the moderating effect is deemed insignificant in the association between new technology-based intellectual property and HDP.

This research delves deeper into the underlying mechanisms that underlie the promotion of HDP through hard technology innovation, thereby expanding the scope of our exploration on the HDP of SRDI firms. It establishes a theoretical framework and practical directives for achieving enhanced development quality amidst the evolving landscape of digital transformation within firms.

The aim of this study is to evaluate the relationship between innovative climate, strategic orientation, work motivation, business performance and job performance.

Within the scope of the research, a survey was conducted with 400 engineers working in organizations operating within companies producing spare parts for automobile companies. IBM SPSS 25, IBM SPSS AMOS and LISREL programs were gradually used, and the data obtained were evaluated and analyzed.

The importance of strategic orientation and work motivation for organizations can be seen in the analysis results in terms of their positive effects.

In the production sector, where innovation and competition activities take place, not only strategic decisions but also motivation for employees must be realized within the organizational culture in order for the organizations to be successful. Strategic orientation is effective in achieving innovation and creation to the extent that employees are motivated.

In terms of successful performance, it is very important to manage companies with the right strategic understanding and to involve the employees. In order to realize the innovation climate and to be successful in performance criteria, motivation is considered a key factor, in particular for the automobile sector. Automobile companies are now turning to electric vehicle production using new generation technologies. However, they also attach importance to the use of smart technologies in cars. For this reason, the effects of strategic orientation and work motivation on performance and innovation are investigated in companies producing automobile spare parts.

Academic advisors are an invaluable and steadfast component of leadership students’ higher education experience (Hunter & White, 2004; Mann, 2020; Museus, 2021; Spratley, 2020). Yet, given the myriad student paths and preferences, advising calls for flexibility, commitment, and personalization. Applying growth mindset and design thinking to the academic advising process in leadership education may help advisors meet the diverse needs of their students, integrating theory and practice. Notably, growth mindset and design thinking are linked to overall motivation, confidence, and problem-solving (Dweck, 2015; Hochanadel & Finamore, 2015; Mann, 2020), allowing students to take ownership over and actively engage with their academic advising experience. Therefore, two advising manuals (i.e., a student manual and a faculty manual) were generated to incorporate growth mindset and design thinking-based approaches to the advising experience within leadership education. The manuals were implemented into various advising situations for data collection and feedback. Findings revealed an overall favorable opinion of the manual and guidance for further implementation within the advising process. The two manuals presented in the current paper provide leadership education students, academic advisors, and departments with various tools to enhance and guide their undergraduate student experience.

This paper aims to explore the impact of salespeople’s goal orientation and self-regulatory mode on their performance through sales ambidexterity and sales technology infusion (STI) using a sales technology ecosystem approach.

This paper adopts a qualitative methodology, through in-depth interviews with salespeople from a diverse range of industries, age profiles and contexts, to explore the narratives and original meanings related to their goal orientation, self-regulatory mode, ambidexterity, STI and performance.

Sceptics are salespeople who may fear or hesitate to fully use the sales technology, whereas enthusiasts are ambidextrous salespeople with high STI, who are more open to change and able to face uncertainty, regardless of the differences in their background in terms of industry, age and experience.

STI may be influenced by individual factors, such as the salesperson’s goal orientation and self-regulatory mode. Hence, sales organizations should try to foster and facilitate further STI and sales ambidexterity, which are key to achieving positive outcomes in today’s technology-intensive sales settings.

This paper extends the current literature on sales technology and sales ambidexterity within a sales technology ecosystem perspective and provides new insight on the combined impact of these variables on the salesperson’s performance.

The leaders of the future will have to lead with intercultural competence and with the ability to facilitate this development of competence in others. The development of skills in undergraduate students to meet this challenge is paramount to the establishment of effective leadership for the future. Within this study, researchers address the challenge by quantitatively examining intercultural competency outcomes students derive from leadership-based study abroad experiences. For five years, researchers utilized a pre-post intercultural competency survey of student participants in a leadership education study abroad program in Zambia, Africa. Using the Intercultural Effectiveness Scale (IES), data was analyzed for seventy-eight students who participated in this five-week study abroad course. The results demonstrate statistically significant growth on students’ intercultural competency across all ten measures of dimensions and sub-scales. Recommendations provide a framework for leadership educators to employ pedagogies that influence intercultural development within study abroad as a means of developing global leadership in their students.

Image segmentation is one of the most essential tasks in image processing applications. It is a valuable tool in many oriented applications such as health-care systems, pattern recognition, traffic control, surveillance systems, etc. However, an accurate segmentation is a critical task since finding a correct model that fits a different type of image processing application is a persistent problem. This paper develops a novel segmentation model that aims to be a unified model using any kind of image processing application. The proposed precise and parallel segmentation model (PPSM) combines the three benchmark distribution thresholding techniques to estimate an optimum threshold value that leads to optimum extraction of the segmented region: Gaussian, lognormal and gamma distributions. Moreover, a parallel boosting algorithm is proposed to improve the performance of the developed segmentation algorithm and minimize its computational cost. To evaluate the effectiveness of the proposed PPSM, different benchmark data sets for image segmentation are used such as Planet Hunters 2 (PH2), the International Skin Imaging Collaboration (ISIC), Microsoft Research in Cambridge (MSRC), the Berkley Segmentation Benchmark Data set (BSDS) and Common Objects in COntext (COCO). The obtained results indicate the efficacy of the proposed model in achieving high accuracy with significant processing time reduction compared to other segmentation models and using different types and fields of benchmarking data sets.

The proposed PPSM combines the three benchmark distribution thresholding techniques to estimate an optimum threshold value that leads to optimum extraction of the segmented region: Gaussian, lognormal and gamma distributions.

On the basis of the achieved results, it can be observed that the proposed PPSM–minimum cross-entropy thresholding (PPSM–MCET)-based segmentation model is a robust, accurate and highly consistent method with high-performance ability.

A novel hybrid segmentation model is constructed exploiting a combination of Gaussian, gamma and lognormal distributions using MCET. Moreover, and to provide an accurate and high-performance thresholding with minimum computational cost, the proposed PPSM uses a parallel processing method to minimize the computational effort in MCET computing. The proposed model might be used as a valuable tool in many oriented applications such as health-care systems, pattern recognition, traffic control, surveillance systems, etc.