Search results

The purpose of this study is to identify the impact that transformational leadership has on challenging influence strategies in business leaders of the micro, small and medium-sized enterprises (MSMEs) of the state of Guanajuato, Mexico.

The methodological design was quantitative, explanatory, observational and cross-sectional, where a sample of 343 leaders from the business sector of the MSMEs of the state of Guanajuato, Mexico was obtained. To check the hypotheses, a structural equation model (SEM) was developed using the AMOS v.21 statistical software. For the analysis of the data, SPSS v.21 was used. Regarding the goodness and fit indexes of the SEM (χ² = 595,133 df = 244; CFI = 0.914 and TLI = 0.903; RMSEA = 0.06), which were acceptable (Jöreskog and Sörbom, 1981; López-Lemus and Zavala, 2019; Rigdon, 1996; Tucker and Lewis, 1973).

The results obtained through the present study, it is shown that leadership and transformational influences positively and significantly on challenging influence strategies: rational (β₁ = 0.53, p < 0.01), inspiring (β₂ = 0.65, p < 0.01) as well as the strategy of participatory influence (β₃ = 0.62, p < 0.01) of the business leaders of the MSMEs of the state of Guanajuato, Mexico.

The findings are relevant and of great value because there is currently not enough research that focuses on the variables analysed on the leadership and influence strategies of business leaders of the MSMEs in the context of the state of Guanajuato, Mexico.

Given the importance of teacher leadership in influencing, motivating and inspiring student learning engagement and associated learning outcomes, a robust instrument to assess this construct is critical. Although there are some teacher leadership instruments available in existing literature, efforts to adapt robust psychometric instruments to measure teachers' leadership practices in Ethiopian higher education institutions have been limited. Therefore, this study attempted to address this gap by adapting the Teacher Leadership Scale (TLS) based on the Multifactor Leadership Questionnaire (MLQ-5X) and validating its psychometric properties for use in higher education settings.

Using a cross-sectional design, the study involved 409 undergraduate university students who were randomly selected from public universities. Factor analytic methodologies, including exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), were used to analyze the data collected.

The result confirmed a set of 36 items arranged in nine factors, which have a theoretically supported factor structure, excellent model fit and robust evidence for validity, and reliability and measurement invariance. These results demonstrate that the scale is a strong psychometric tool for measuring the leadership profile and practice of higher education teachers.

It can be concluded that the TLS can assist stakeholders in several ways. Researchers can benefit from the scale to measure teachers' leadership practices and predict their influence on student learning outcomes. In addition, the scale can help practitioners and policymakers collect relevant data to rethink teacher professional development initiatives, leadership training programs and other practices aimed at improving teacher leadership effectiveness.

Research for the case study was conducted using a combination of semi-structured interviews and secondary data sources.

This case traces the international expansion of Sadowsky Guitars’ bass guitar product line. Roger Sadowsky is one of the most respected instrument makers in the world and gained early acclaim for his outstanding repair and restoration work on guitars and basses. Some of his early clients included Prince, Will Lee (The Tonight Show), Tom Hamilton of Aerosmith, Jason Newsted of Metallica, Eddie Van Halen and Marcus Miller. Roger’s reputation and the demand for his instruments led to some customers having to wait for more than a year to obtain the chance to purchase a Sadowsky instrument, while others were unable to do so due to financial constraints. In 2003, Roger made the decision to form Sadowsky Japan to begin the contract manufacturing of more affordable Sadowsky instruments in Tokyo, Japan. As the company grew in size, Roger realized he was becoming more focused on running a business than building instruments. Furthermore, his Japanese partners were only interested in serving the Japanese market. This required him to handle the sales and distribution in the remaining parts of the world. In December of 2019, he announced a new, exclusive licensing agreement and distribution partnership between Sadowsky Guitars and Warwick GmbH & Co Music Equipment KG. The new agreement allowed Roger to continue running the Sadowsky NYC Custom Shop while Warwick would take over building and distributing the Metro instruments and a less-expensive, Chinese-built version of the MetroExpress instruments.

This case is appropriate for undergraduate and graduate-level courses related to marketing and consumer behavior. The case walks students through a real-life scenario when the founder of a well-known musical brand sought to expand internationally as a way to meet growing market demand. Students are asked to consider the advantages and disadvantages of the five key international market entry strategies: exporting, licensing, contract manufacturing, joint ventures and investment (equity/acquisition).

The case works well in the classroom, even if people are unfamiliar with the musical instrument retail industry. Participants are most likely aware of some of the artists and musicians mentioned in the case. Some may also be or know musicians. The instructor should be able to quickly engage participants in a lively discussion about Roger Sadowsky’s vision for his instruments and the opportunities and challenges of expanding product offerings and increasing market share.

Teaching notes are available for educators only.

Drawing on the “conservation of resources” theory, the current study examines the mechanisms by which individual-focused transformational leadership (i.e. individualized consideration and intellectual stimulation) is associated with employees' taking charge by investigating the mediating roles of psychological capital and thriving at work.

A three-wave research study was conducted, and the data for the study included 220 employees’-supervisors’ dyads from Indian IT (information technology) organizations. Further, confirmatory factor analysis (CFA) was utilized to assess the measurement model, and study hypotheses were tested using Process macro.

The study results showed that individual-focused transformational leadership (IFTL) is strongly associated with psychological capital, thriving at work and taking charge. The findings of Process macro analyses indicated that IFTL, directly and indirectly, impacts taking charge behavior via psychological capital and thriving at work.

The study offers significant practical implications to managers, counsellors and HRM practitioners for crafting workplace interventions to augment employees taking charge behavior. The study findings would aid HRM practitioners in designing individualized-oriented leadership programs for building employees' positive psychological capabilities and thriving experiences for taking charge.

This paper broadens the existing leadership literature by proposing new pathways through which IFTL encourages employees to take charge. Mainly, research studies need to shed more light on leadership characteristics that influence employees' positive psychological behavior, that is psychological capital and thriving at work. Consequently, this study examined the underlying mechanism through which leadership, psychological capital and thriving interact to stimulate employees taking charge behavior.

The Indirect Leadership Questionnaire (ILQ) is constructed to measure important parts of a theoretical model of indirect leadership to be used in leadership courses for high-level managers. The ILQ consists of 15 model-derived items plus extra space that provides for free-text comments. This study aims to evaluate the psychometric properties of the ILQ, its predictive power and practical usefulness in indirect leadership courses and to evaluate the indirect leadership model in the light of new data.

The study sample consisted of 225 higher managers and 6–10 of their subordinates (total: 1,703). The latter were working at least two hierarchical levels below their higher manager. The managers made self-ratings, and the subordinates rated their respective higher manager using the ILQ.

Results showed that the ILQ has acceptable psychometric properties in terms of dimensionality (two model-compatible factors were obtained), reliability, discriminability and predictive power. Previous problems with many “Don’t know” responses from subordinates working two or more hierarchical levels below their higher manager were considerably reduced. A qualitative analysis of the free-text responses showed that indirect leadership behaviors that can be seen as inspirational influence and communication skills should be more emphasized in future indirect leadership courses. The leaders’ personality, task-related competence and performance-orientation were also highlighted more than in the indirect leadership model.

It was concluded that the ILQ is a useful tool in indirect leadership courses but that it is too limited to be used as a basis for theory development of indirect leadership.

The ILQ has acceptable psychometric properties and provides an easy-to-use tool to gain practical, usable knowledge of the “how’s” of indirect leadership.

The authors hope to filter valuable information from online reviews, obtain objective and accurate information about the demands of auto consumers and help auto companies develop more reasonable production and marketing strategies for healthy and sustainable development. This paper aims to discuss the aforementioned objectives.

The authors collected review data from online automotive forums and generated a corpus after pre-processing. Then, the authors extracted consumer demands and topics using the LDA model. Finally, the authors used a trained Word2vec tool to extend the consumer demand topics.

Different types of vehicle consumers have the same demands, such as “Space,” “Power Performance,” and “Brand Comparison,” and distinct demands, such as “Appearance,” “Safety,” “Service,” and “New Energy Features”; consumers who buy new energy vehicles are still accustomed to comparing with the brands or models of fuel vehicles; new energy vehicles consumers pay more attention to services and service quality during the purchasing and using process.

The development time of new energy vehicles is relatively short, with some models being available for only one year or even six months. The smaller amount of available data may impact the applicability of topic models. The sample size, especially for new energy vehicles, needs to be increased to improve the general applicability of topic models further.

First, this measure helps online review websites improve their existing review publication mechanisms, enhance the overall quality of online review content, increase user traffic and promote the healthy development of online review websites. Second, this allows for timely adjustments in future product production and sales plans and further enhances automotive companies' ability to leverage online reviews for Internet marketing.

The authors have improved the accuracy and stability of the fused topic model, providing a scientific and efficient research tool for multi-dimensional topic mining of online reviews. With the help of research results, consumers can more easily understand the discussion topics and thus filter out valuable reference information. As a result, automotive companies may gain information about consumer demands and product quality feedback and thus quickly adjust production and marketing strategies to increase sales and market share.

We propose a machine learning based methodology to deal with data collected from a mobile application asking users their opinion regarding fashion products. Based on different machine learning techniques, the proposed approach relies on the data value chain principle to enrich data into knowledge, insights and learning experience.

Online interaction and the usage of social media have dramatically altered both consumers’ behaviors and business practices. Companies invest in social media platforms and digital marketing in order to increase their brand awareness and boost their sales. Especially for fashion retailers, understanding consumers’ behavior before launching a new collection is crucial to reduce overstock situations. In this study, we aim at providing retailers better understand consumers’ different assessments of newly introduced products.

By creating new product-related and user-related attributes, the proposed prediction model attends an average of 70.15% accuracy when evaluating the potential success of new future products during the design process of the collection. Results showed that by harnessing artificial intelligence techniques, along with social media data and mobile apps, new ways of interacting with clients and understanding their preferences are established.

From a practical point of view, the proposed approach helps businesses better target their marketing campaigns, localize their potential clients and adjust manufactured quantities.

The originality of the proposed approach lies in (1) the implementation of the data value chain principle to enhance the information of raw data collected from mobile apps and improve the prediction model performances, and (2) the combination consumer and product attributes to provide an accurate prediction of new fashion, products.

This study aims to investigate the factors influencing the adoption intention of artificial intelligence (AI) by micro, small and medium enterprises (MSMEs) in Jordan.

The study adopts the technology–organization–environment (TOE) model. It examines the moderating effects of innovation culture, employee digital skill level and market competition on the relationships between the independent and dependent variables. A survey was utilized to collect data from 537 MSME owners or managers in Jordan and employed partial least squares structural equation modeling to test the hypotheses.

The results of the study support seven out of eight hypotheses. Business innovativeness, management support, perceived benefits and technological infrastructure have positive and significant effects on AI adoption intention, while perceived costs have no significant effect. However, the innovation culture, employee digital skill level and market competition were found to moderate the relationships between some of the independent variables and dependent variables.

The study provides valuable insights and recommendations for MSME owners, managers, employees, policymakers, educators and researchers interested in promoting and facilitating AI adoption by MSMEs in Jordan.

The current attempt extends the TOE framework by adding significant constructs representing the three contexts. Moreover, it is one of the few studies that analyzed the factors influencing the adoption intention of AI by MSMEs in Jordan, which are significant to the Jordanian economy and represent 99.5% of enterprises.

Background: How many higher education researchers are there in the world? How many academic articles are published by researchers each year? This paper aims to answer these two questions by tracking the number of higher education teachers and the number of publications over the past four decades.

Methods: We collected data on the number of higher education institutions and researchers from the United Nations, the World Bank, and the US, China, and UK governments (three countries with the largest number of academic publications in recent years). We used Scopus to obtain the number of publications per year. The growth of higher education researchers and academic publications were characterized using 4-parameter logistic models.

Results: The number of higher education teachers-cum-researchers increased from 4 million in 1980 to 13.1 million in 2018 worldwide. Concurrently, the number of academic publications increased from 0.65 million in 1980 to 3.16 million in 2018 based on data from Scopus. At the country level, the number of academic publications from the USA increased from 0.15 million in 1980 to 0.70 million in 2018, while that from China increased by almost 1,000 times from 629 in 1980 to 0.60 million in 2018.

Conclusions: The number of higher education researchers would reach 13.6 million and they would publish 3.21 million academic articles in 2020, imposing enormous pressure to publishers, peer-reviewers, and people who want to understand emerging scientific development. Additionally, not all academic publications are easily assessable because most articles are behind pay-walls. In addition, unethical research practices including falsification, fabrication, plagiarism, slicing publication, publication in a predatory journal or conference, etc. may hinder scientific and human development.

This paper aimed to test a proposed framework highlighting strategic green marketing initiatives and how they drive new technology implementation towards green corporate performance, underpinned by institutional isomorphism.

The study used a quantitative method and convenience sampling approach in gathering data using adapted questionnaires to solicit first-hand information from 225 employees of small and medium-sized enterprises (SMEs) in the tourism and hospitality sector underpinned by the theory of institutional isomorphism.

The study shows that green communication and green strategy alignment have significant predictive effects on new technology implementation. Cultural isomorphism significantly moderated the effects of implementing new technology (i.e. green communication and strategy alignment). In addition, “new technology implementation had a significant predictive effect on green corporate performance”. Meanwhile, the moderation effect of “green creative behaviour on the new technology-green corporate performance dyad was positive but insignificant.”

The study’s novel framework confirms how green communication strategy and green strategy alignment complement cultural isomorphism to explain the impact of new technology implementation on green corporate performance, underpinned by institutional isomorphism.