Fei Fei Wang, Jiong Wu and Xiaoxian Gong
Aiming at the key issue of interpersonal interaction process between successors and top management teams in the context of family business trans-generational entrepreneurship…
Abstract
Purpose
Aiming at the key issue of interpersonal interaction process between successors and top management teams in the context of family business trans-generational entrepreneurship, this paper aims to explore the motivation, action and results of interpersonal conflict between these two subjects mentioned above.
Design/methodology/approach
This paper uses grounded theoretical research methods based on the research objects of three family businesses with both inheritance and transformation needs.
Findings
Motivation difference, mediation mode and relationship utilization, that is, the successor and top management team take the goal-orientation, interest orientation and rational tendency as the starting point for relationship coordination. Then it mediates the interpersonal conflicts through compromise, collaboration and compliance, and ultimately provide successors with resources, opportunities, capabilities and motivation advantages to promote trans-generational entrepreneurship. Second, the path of relationship coordination comes from the background of social embedding, that is, the motivation difference comes from the embedding of motivation seeking, the mediation mode comes from the embedding of mediation elements and the relationship utilization comes from the embedding of relationship optimization. The research conclusions not only provide a theoretical framework for family businesses to solve the problems of interpersonal conflicts faced by family businesses but also have practical guiding significance for the trans-generational entrepreneurship.
Originality/value
There are two theoretical contributions in this study. First, the research starting point of social embeddedness theory from the perspective of interpersonal relationships at the microlevel is revised. Since Granovetter (Granovetter, 1985) put forward the theory of social embeddedness, its research scope has been gradually expanded, but the mainstream research in the past focused on analyzing the social network embeddedness of enterprises to obtain social capital from the macro- and meso-level (Nahapiet and Ghoshal, 1998). In fact, this may deviate from the essential interpretation of Granovetter’s theory of social embeddedness, while this study returns to the study of interpersonal relationships. Second, a theoretical model of relationship coordination for successors and top management team is put forward in general. On the basis of the motivation, action and result of interpersonal interaction between the successor and top management team, the interpersonal coordination action path and embedded logic during trans-generational entrepreneurship of family businesses are revealed, which enriched the research scope of social embedded theory in family business.
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Francisca Arboh, Xiaoxian Zhu, Samuel Atingabili, Elizabeth Yeboah and Emmanuel Kwateng Drokow
The primary purpose of the study was to explore the impact of health workers’ awareness of artificial intelligence (AI) on their workplace well-being, addressing a critical gap in…
Abstract
Purpose
The primary purpose of the study was to explore the impact of health workers’ awareness of artificial intelligence (AI) on their workplace well-being, addressing a critical gap in the literature. By examining this relationship through the lens of the Job demands-resources (JD–R) model, the study aimed to provide insights into how health workers’ perceptions of AI integration in their jobs and careers could influence their informal learning behaviour and, consequently, their overall well-being in the workplace. The study’s findings could inform strategies for supporting healthcare workers during technological transformations.
Design/methodology/approach
The study employed a quantitative research design using a survey methodology to collect data from 420 health workers across 10 hospitals in Ghana that have adopted AI technologies. The study was analysed using OLS and structural equation modelling.
Findings
The study findings revealed that health workers’ AI awareness positively impacts their informal learning behaviour at the workplace. Again, informal learning behaviour positively impacts health workers’ workplace well-being. Moreover, informal learning behaviour mediates the relationship between health workers’ AI awareness and workplace wellbeing. Furthermore, employee learning orientation was found to strengthen the effect of AI awareness on informal learning behaviour.
Research limitations/implications
While the study provides valuable insights, it is important to acknowledge its limitations. The study was conducted in a specific context (Ghanaian hospitals adopting AI), which may limit the generalizability of the findings to other healthcare settings or industries. Self-reported data from the questionnaires may be subject to response biases, and the study did not account for potential confounding factors that could influence the relationships between the variables.
Practical implications
The study offers practical implications for healthcare organizations navigating the digital transformation era. By understanding the positive impact of health workers’ AI awareness on their informal learning behaviour and well-being, organizations can prioritize initiatives that foster a learning-oriented culture and provide opportunities for informal learning. This could include implementing mentorship programs, encouraging knowledge-sharing among employees and offering training and development resources to help workers adapt to AI-driven changes. Additionally, the findings highlight the importance of promoting employee learning orientation, which can enhance the effectiveness of such initiatives.
Originality/value
The study contributes to the existing literature by addressing a relatively unexplored area – the impact of AI awareness on healthcare workers’ well-being. While previous research has focused on the potential job displacement effects of AI, this study takes a unique perspective by examining how health workers’ perceptions of AI integration can shape their informal learning behaviour and, subsequently, their workplace well-being. By drawing on the JD–R model and incorporating employee learning orientation as a moderator, the study offers a novel theoretical framework for understanding the implications of AI adoption in healthcare organizations.
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Monica Lopez-Campos, Salvatore Cannella, Pablo A. Miranda and Raul Stegmaier
The purpose of this paper is to propose and model collaboration and information exchange enabler strategies, designed to accomplish significant improvements in supply chain (SC…
Abstract
Purpose
The purpose of this paper is to propose and model collaboration and information exchange enabler strategies, designed to accomplish significant improvements in supply chain (SC) performance. Some of these improvements to the SC include the reduction of the bullwhip effect and increased customer and SC partner benefits. The authors propose a fully collaborative replenishment model. The study details the information flow required to implement new SC collaboration strategies, clarifying a specific strategy for information sharing involving inventory levels (on hand, in process, etc.), orders and demand forecast.
Design/methodology/approach
The authors suggest the adoption of business process modelling (BPM) methodology, aimed at identifying which information should be shared by SC partners, in order to create fully collaborative strategies.
Findings
The features of BPM allow for the effortless integration of the modelled information collaboration strategies into a general network information system, creating a flexible structure that can be quickly and even automatically adapted to new conditions.
Research limitations/implications
In this paper, a serial SC has been analysed, but enterprises also commonly manage more complex kind of chains. Chains composed of more than one member in the same echelon, divergent chains, convergent chains, network chains are all different configurations that require their own algorithm. The authors use the order up to policy, but there are other policies that can be considered to extend the scope of the model.
Practical implications
BPM, specifically through Unified Modelling Language (UML) and Business Process Modelling Notation standards, represents a suitable technique to develop and implement new SC collaboration practices, serving as a communication link between managers and software developers.
Social implications
The expected results of this work imply the proposal of a reference model for collaborative supply chain (CSC) organisations, contributing to the enhancement of value creation for the whole CSC.
Originality/value
The aim of this paper is to clarify the information-sharing algorithm required to implement a collaborative structure for an SC. This algorithm is expressed using the BPM technique, specifically UML and Business Process Model and Notation standards.
Propósito
Este documento propone y modela estrategias de colaboración y habilitación de intercambio de información, diseñadas para lograr mejoras significativas en el rendimiento de la cadena de suministro (SC). Algunas de estas mejoras incluyen la reducción del efecto látigo y mayores beneficios para los clientes y socios de la cadena de suministro. Proponemos un modelo de reabastecimiento totalmente colaborativo. El estudio detalla el flujo de información requerido para implementar nuevas estrategias de colaboración en la cadena de suministro, aclarando una estrategia específica para el intercambio de información que involucra niveles de inventario (en mano, en proceso, etc.), pedidos y previsión de la demanda.
Diseño/metodología/enfoque
Sugerimos la adopción de la metodología de Modelado de Procesos de Negocio, dirigida a identificar qué información debe ser compartida por los socios de la cadena de suministro, a fin de crear estrategias totalmente colaborativas.
Hallazgos
las características del Modelado de Procesos de Negocio permiten la integración, sin un excesivo esfuerzo, de las estrategias de colaboración modeladas en un sistema de información general, creando una estructura flexible que puede adaptarse rápida e incluso automáticamente a las nuevas condiciones.
Limitaciones/implicaciones de la investigación
en este documento, se ha analizado una cadena de suministro en serie, sin embargo las empresas también suelen administrar cadenas más complejas. Cadenas compuestas de más de un miembro en el mismo escalón, cadenas divergentes, cadenas convergentes, cadenas de red, son todas configuraciones diferentes que requieren su propio algoritmo. Igualmente, en este artículo usamos la política de pedido “order up to” aunque también existen otras políticas que se pueden considerar para ampliar el alcance del modelo.
Implicaciones prácticas
el modelado de procesos BPM, específicamente a través del Lenguaje Unificado de Modelado (UML) y estándares para la notación de Modelado de Procesos de Negocio (BPMN), representa una técnica adecuada para desarrollar e implementar nuevas prácticas de colaboración de cadena de suministro, que sirve como un enlace de comunicación entre los gerentes y los desarrolladores de software.
Implicaciones sociales
los resultados esperados de este trabajo implican la propuesta de un modelo de referencia para la colaboración de las organizaciones de la cadena de suministro, contribuyendo a la mejora de la creación de valor para toda la cadena de suministro colaborativa.
Originalidad/valor
el objetivo de este documento es aclarar el algoritmo de intercambio de información requerido para implementar una estructura colaborativa para una cadena de suministro. Este algoritmo se expresa utilizando la técnica BPM, específicamente a través de los estándares UML y BPMN.