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The study aims to investigate the effect of entrepreneurial leadership (EL), competencies (ECs) and intentions (EIs) on enterprise performance (EP) via entrepreneurial resilience (ER) and risk-taking propensity (RTP).

Data were collected from 403 early-stage small and medium enterprise (SME) owners in Pakistan at two-time intervals and were analyzed using AMOS 22.

All predictors (i.e. EIs, EL and ECs) positively affected EP and ER, except for EL and ER. Furthermore, RTP and ER were serially mediated in linking EIs and ECs with EP but could not establish a link between EL and EP.

The findings reveal that the Pakistani government and business owners must focus on SMEs’ sustained development and prioritize ECs.

This paper is unique in nature, as understanding EIs, EL and ECs in a holistic framework has never been tested before in relation to EP.

In rapidly changing global village, individuals, organizations and the society are faced with various unforeseen challenges every day, and these challenges continuously trigger and test the instincts for survival, and higher education is of no exception. In the context of today’s most critical uncertainty, i.e. COVID-19, the purpose of this study is to highlight the significance of two leadership styles, i.e. adaptive and academic leadership, and assessing readiness for change among higher education institutions (HEIs) of Punjab, Pakistan.

An online survey was conducted to collect data from 404 permanent faculty members in the public sector universities identified using stratified random sampling. The hypotheses developed were tested using co-variance-based structural equation modeling.

As per the findings, both leadership styles as exogenous constructs and the presence of organizational learning capability as mediators contributed positively in crafting organizational readiness for change (ORC) among HEIs in the course of unpredictable circumstances.

The COVID-19 episode globally has reiterated the importance of change, and the role of leadership in this regard cannot be undermined. This study, for that matter, stresses on the importance and benefits of academic and adaptive leadership dealing with uncertainties or change and the readiness of HEIs for change. Several institutions faced challenges in doing so, and the transition was not smooth, except for institutions where leaders were the differentiating factor. On top of it, institutions that had timely invested in digital systems and had enhanced organizations learning capacity survived in these turbulent times.

COVID-19 has placed tremendous challenges on HEIs to adapt with the rapidly changing conditions. Hence, this study is unique in understanding the academic and adaptive leadership styles in context of ORC. This study further helps in understanding that how public sector universities that are already influenced by stringent bureaucratic structures react to change.

Artificial intelligence (AI) offers many benefits to improve predictive marketing practice. It raises ethical concerns regarding customer prioritization, market share concentration and consumer manipulation. This paper explores these ethical concerns from a contemporary perspective, drawing on the experiences and perspectives of AI and predictive marketing professionals. This study aims to contribute to the field by providing a modern perspective on the ethical concerns of AI usage in predictive marketing, drawing on the experiences and perspectives of professionals in the area.

The study conducted semistructured interviews for 6 weeks with 14 participants experienced in AI-enabled systems for marketing, using purposive and snowball sampling techniques. Thematic analysis was used to explore themes emerging from the data.

Results reveal that using AI in marketing could lead to unintended consequences, such as perpetuating existing biases, violating customer privacy, limiting competition and manipulating consumer behavior.

The authors identify seven unique themes and benchmark them with Ashok’s model to provide a structured lens for interpreting the results. The framework presented by this research is unique and can be used to support ethical research spanning social, technological and economic aspects within the predictive marketing domain.

La Inteligencia Artificial (IA) ofrece muchos beneficios para mejorar la práctica del marketing predictivo. Sin embargo, plantea preocupaciones éticas relacionadas con la priorización de clientes, la concentración de cuota de mercado y la manipulación del consumidor. Este artículo explora estas preocupaciones éticas desde una perspectiva contemporánea, basándose en las experiencias y perspectivas de profesionales en IA y marketing predictivo. El estudio tiene como objetivo contribuir a la literatura de este ámbito al proporcionar una perspectiva moderna sobre las preocupaciones éticas del uso de la IA en el marketing predictivo, basándose en las experiencias y perspectivas de profesionales en el área.

Para realizar el estudio se realizaron entrevistas semiestructuradas durante seis semanas con 14 participantes con experiencia en sistemas habilitados para IA en marketing, utilizando técnicas de muestreo intencional y de bola de nieve. Se utilizó un análisis temático para explorar los temas que surgieron de los datos.

Los resultados revelan que el uso de la IA en marketing podría tener consecuencias no deseadas, como perpetuar sesgos existentes, violar la privacidad del cliente, limitar la competencia y manipular el comportamiento del consumidor.

El estudio identifica siete temas y los comparan con el modelo de Ashok para proporcionar una perspectiva estructurada para interpretar los resultados. El marco presentado por esta investigación es único y puede utilizarse para respaldar investigaciones éticas que abarquen aspectos sociales, tecnológicos y económicos dentro del ámbito del marketing predictivo.

人工智能（AI）为改进预测营销实践带来了诸多益处。然而, 这也引发了与客户优先级、市场份额集中和消费者操纵等伦理问题相关的观点。本文从当代角度深入探讨了这些伦理观点, 充分借鉴了人工智能和预测营销领域专业人士的经验和观点。旨在通过现代视角提供关于在预测营销中应用人工智能时所涉及的伦理观点, 为该领域做出有益贡献。

本研究采用了目的性和雪球抽样技术, 与14位在人工智能营销系统领域具有丰富经验的参与者进行为期六周的半结构化访谈。研究采用主题分析方法, 旨在深入挖掘数据中显现的主要主题。

研究结果表明, 在营销领域使用人工智能可能引发一系列意外后果, 包括但不限于加强现有偏见、侵犯客户隐私、限制竞争以及操纵消费者行为。

本研究通过明确定义七个独特的主题, 并采用阿肖克模型进行基准比较, 为读者提供了一个结构化的视角, 以解释研究结果。所提出的框架具有独特之处, 可有效支持在跨足社会、技术和经济领域的预测营销中展开的伦理研究。

This study analyses the challenges in implementing lean manufacturing (LM) in the wood and furniture industry. In order to facilitate the smooth implementation of LM practices in this industry, the challenges in terms of its deployment need to be analysed and observed.

Realizing this importance, this study proposes a model, using PLS-SEM, which focusses on dealing with the challenges faced in the implementation of lean in the wood and furniture industry. The model consists of ten challenges that were determined based on a survey involving 46 SMEs companies in Malaysia.

The findings revealed that the implementation of LM is significantly affected by three main issues, namely: knowledge, resources and culture and human attitude. Furthermore, the analyses also highlighted four dominant challenges which are related to culture and human attitude issues – lack of employee commitment, lack of senior management's interest and support, difficult to implement, and LM is viewed as “current trend”. Overall, the ability to deal with the challenges involving factors of knowledge and culture and human attitude determines the success of LM implementation, especially in companies that have limited resources.

This study would help wood and furniture SMEs, government agencies, professional bodies and academics to better understand the challenges when implementing LM practices.

Overall, this study aims at investigating the relationships between the three challenges to better promote LM in the scope under study. Therefore, several activities were proposed to overcome the abovementioned challenges and subsequently contribute to the current body of knowledge.

This study relies on an integrated model to study the role of instant mobile messaging apps in the pandemic. The COVID-19 pandemic is reshaping different forms of businesses; one of them is digital marketing. Many aspects of digital marketing augmented in response to the consequences of the virus. A comparative study between Pakistan and Iraq is conducted to investigate the resistors of innovation with the mediation of intention toward actual system usage. It examines the behavioral intentions and actual behavior of individuals in response to the resistance toward innovation.

A total of 800 responses were collected through a convenient sampling method from individuals residing in Pakistan and Iraq in the first wave of COVID-19. The data was analyzed through covariance-based structural equation modeling; SPSS and Smart PLS 3.0 were used as efficient data analysis tools in the study.

The results inferred that individuals are faced with resistance to innovation when they adopt innovative technology. It was inferred that technology adoption is not poised through image both in Pakistan and Iraq. Intention toward actual behavior was determined to be a potential mediator, which enhances the stature of the integrated model.

The significance of this study considering practical and theoretical implications is incorporated for marketer’s policymakers and consumers, along with recommendations for future research.

This study aims to extend the driving range by on-board charging with use of photovoltaic (PV) source, avoiding the dependency on the grid supply and energy storage system in addition to that reduce the conversion complexity influenced on converter section of electric vehicle (EV) system.

This paper proposed a PV fed integrated converter topology called integrated single-input multi-output (I-SIMO) converter with enriched error tolerant fuzzy logic controller (EET-FLC) based control technique to regulate the speed of brushless direct current motor drive. I-SIMO converter provides both direct current (DC) and alternating current (AC) outputs from a single DC input source depending on the operation mode. It comprises two modes of operation, act as DC–DC converter in vehicle standby mode and DC–AC converter in vehicles driving mode.

The use of PV panels in the vehicle helps to reduce dependence of grid supply as well as vehicle’s batteries. The proposed topology has to remove the multiple power conversion stages in EV system, reduce components count and provide dual outputs for enhancement of performance of EV system.

The proposed topology leads to reduction of switching losses and stresses across the components of the converter and provides reduction in system complexity and overall expenditure. So, it enhances the converter reliability and also improves the efficiency. The converter provides ripple-free output voltage under dynamic load condition. The performance of EET-FLC is studied by taking various performance measures such as rise time, peak time, settling time and peak overshoot and compared with conventional control designs.