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Digital transformation is a process in which organizations use technology as an essential resource to improve performance and increase market reach and results.

This research aims to verify how dynamic capabilities are configured for the development of strategies and processes necessary for digital transformation. To this end, qualitative research of an exploratory nature was carried out, operationalized through in-depth individual interviews with a semi-structured approach with managers who occupy leadership positions, in addition to a documentary survey of the internal records of the analyzed organization. In data analysis, the content analysis technique was used.

The main results of the research showed that the dynamic capabilities configured in sensing, seizing and reconfiguring contribute to leveraging digital transformation in the business studied through the reformulation of strategies to integrate and coordinate the implementation of new routines, investments in technological and human resources and actions to change culture with a focus on digital transformation considering the company’s stakeholders.

This transformation affects business models, products, services and processes, as well as the review of strategies, organizational structures and management concepts.

This study aims to identify the perception of people in a Portuguese company regarding the main barriers to the effectiveness of the existing performance measurement system (PMS) and whether those perceptions are dependent of people’s hierarchical levels, education levels, work shifts, gender and department.

Primary data was collected through structured interviews (adapted to three levels of interviewees in the company hierarchy) and Likert scale questionnaires. Descriptive statistical analysis of the collected data was performed as well as a chi-square test.

The results provide an insight on the perception of barriers to the PMS effectiveness in the company. After performing interviews and questionnaires it was possible to identify that the main perceived barriers were: poor communication system and issues on target definition, lack of trained resources, employee involvement, indicators understanding and use for improvement.

This study is the starting point to develop actions aiming to eliminate, or at least mitigate, the impact of the barriers on the PMS effectiveness.

PMSs play an essential role in an organization, so it is essential to identify what hinders its effectiveness. This study opens the discussion by diagnosing the company’s perception of the barriers to PMS effectiveness.

It is only logical that a firm aims to make a profit after entering the market. However, some firms enter the market with the goal of market expansion and even burn money to pursue market share, which is counterintuitive in practice. To explore the theoretical foundations behind this rare phenomenon, this paper focuses on discussing the impact of the market expansion entry strategy on the entrant firm and the incumbent firm.

Using a game theory model of a supply chain with an incumbent and an entrant, this paper explores the mathematical conditions for the entrant to adopt either the traditional or the market expansion entry strategy and investigates the incumbent’s benefits and losses under different entry strategies.

The results show that when the market-expansion effect and the selling price ceiling are moderate, the entrant firm always adopts the market expansion entry strategy, and the incumbent firm obtains a free ride from the entrant firm and benefits from it. The entire industry profits and the industry consumer surplus are increased. In particular, we further investigate the cases in which the incumbent firm has a first-mover advantage or there is a troublesome cost, and the results confirm the aforementioned conclusions.

By considering market share as the entrant’s goal, this paper contributes to the dual-purpose literature. Moreover, based on the model’s mathematical results, this paper offers relevant management insights for the entrant and its stakeholders in the e-commerce platform.

Intelligent new energy vehicles (INEVs) are becoming the competitive hotspot for the automobile industry. The major purpose of this study is to determine how to increase innovation efficiency through knowledge sharing and technology spill between new energy vehicle (NEV) enterprises and technology enterprises. This will help to improve the core competence of the automobile industry in China. Also, it serves as a guide for the growth of other strategic.

The authors construct a tripartite evolutionary game model to study the cross-border cooperative innovation problem. Firstly, the payment matrix of NEV enterprise, technology enterprise and government is established, and the expected revenue of each participant is determined. Then, the replication dynamic equations and evolutionary stability strategies are analyzed. Finally, the theoretical research is validated through numerical simulation.

Results showed that: (1) An optimal range of revenue distribution coefficient exists in the cross-border cooperation. (2) Factors like research and development (R&D) success rate, subsidies, resource and technology complementarity, and vehicles intelligence positively influence the evolution towards cooperative strategies. (3) Factors like technology spillover risk cost inhibit the evolution towards cooperative strategies. To be specific, when the technology spillover risk cost is greater than 2.5, two enterprises are inclined to choose independent R&D, and the government chooses to provide subsidy.

The research perspective and theoretical analysis are helpful to further explore the cross-border cooperation of the intelligent automobile industry. The findings suggest that the government can optimize the subsidy policy according to the R&D capability and resource allocation of automobile industry. Moreover, measures are needed to reduce the risk of technology spillovers to encourage enterprise to collaborate and innovate. The results can provide reference for enterprises’ strategic choice and government’s policy making.

The INEV industry has become an important development direction of the global automobile industry. However, there is limited research on cross-border cooperation of INEV industry. Hence, authors construct a tripartite evolutionary game model involving NEV enterprise, technology enterprise and the government, and explore the relationship of cooperation and competition among players in the INEV industry, which provides a new perspective for the development of the INEV industry.

The present paper aims to address challenges associated with path planning and obstacle avoidance in mobile robotics. It introduces a pioneering solution called the Bi-directional Adaptive Enhanced A* (BAEA*) algorithm, which uses a new bidirectional search strategy. This approach facilitates simultaneous exploration from both the starting and target nodes and improves the efficiency and effectiveness of the algorithm in navigation environments. By using the heuristic knowledge A*, the algorithm avoids unproductive blind exploration, helps to obtain more efficient data for identifying optimal solutions. The simulation results demonstrate the superior performance of the BAEA* algorithm in achieving rapid convergence towards an optimal action strategy compared to existing methods.

The paper adopts a careful design focusing on the development and evaluation of the BAEA* for mobile robot path planning, based on the reference [18]. The algorithm has remarkable adaptability to dynamically changing environments and ensures robust navigation in the context of environmental changes. Its scale further enhances its applicability in large and complex environments, which means it has flexibility for various practical applications. The rigorous evaluation of our proposed BAEA* algorithm with the Bidirectional adaptive A* (BAA*) algorithm [18] in five different environments demonstrates the superiority of the BAEA* algorithm. The BAEA* algorithm consistently outperforms BAA*, demonstrating its ability to plan shorter and more stable paths and achieve higher success rates in all environments.

The paper adopts a careful design focusing on the development and evaluation of the BAEA* for mobile robot path planning, based on the reference [18]. The algorithm has remarkable adaptability to dynamically changing environments and ensures robust navigation in the context of environmental changes. Its scale further enhances its applicability in large and complex environments, which means it has flexibility for various practical applications. The rigorous evaluation of our proposed BAEA* algorithm with the Bi-directional adaptive A* (BAA*) algorithm [18] in five different environments demonstrates the superiority of the BAEA* algorithm.

The rigorous evaluation of our proposed BAEA* algorithm with the BAA* algorithm [18] in five different environments demonstrates the superiority of the BAEA* algorithm. The BAEA* algorithm consistently outperforms BAA*, demonstrating its ability to plan shorter and more stable paths and achieve higher success rates in all environments.

The originality of this paper lies in the introduction of the bidirectional adaptive enhancing A* algorithm (BAEA*) as a novel solution for path planning for mobile robots. This algorithm is characterized by its unique characteristics that distinguish it from others in this field. First, BAEA* uses a unique bidirectional search strategy, allowing to explore the same path from both the initial node and the target node. This approach significantly improves efficiency by quickly converging to the best paths and using A* heuristic knowledge. In particular, the algorithm shows remarkable capabilities to quickly recognize shorter and more stable paths while ensuring higher success rates, which is an important feature for time-sensitive applications. In addition, BAEA* shows adaptability and robustness in dynamically changing environments, not only avoiding obstacles but also respecting various constraints, ensuring safe path selection. Its scale further increases its versatility by seamlessly applying it to extensive and complex environments, making it a versatile solution for a wide range of practical applications. The rigorous assessment against established algorithms such as BAA* consistently shows the superior performance of BAEA* in planning shorter paths, achieving higher success rates in different environments and cementing its importance in complex and challenging environments. This originality marks BAEA* as a pioneering contribution, increasing the efficiency, adaptability and applicability of mobile robot path planning methods.

This study aims to examine the role of performance management systems (PMSs) in enabling logic blending to manage institutional complexity and tensions arising from coexisting institutional logics.

This research uses a case study of an Australian non-government organisation (NGO) operating in an institutional field dominated by the state government, in which policy reform jolted the balance between institutional logics. Data was collected through semi-structured interviews, archival documents and observations.

We find the policy reform required the NGO to transform from a wholly care focus to accommodate a more balanced approach with a focus on care coupled with efficiency, outcome delivery and performance measurement. The NGO responded by revising its purpose, strategy and operational model and by seeking to address the imperatives of two dominant and often competing care and managerial logics. We find this was achieved through logic blending, in which PMSs played a pivotal role, with the formalisation and collaboration processes mobilising different elements of PMSs, mobilising some elements differently or not mobilising some elements at all.

This study highlights the central role of PMSs in managing tensions between and the complexity arising from coexisting institutional logics through logic blending, a form of enduring compromise. This study extends the accounting logics and performance management literature by developing the understanding of what constitutes logic blending and how it is distinct from other forms of compromise.

This paper aims to examine the effect of corporate social responsibility (CSR) on firm performance (FP) of companies listed on the Tunis Stock Exchange.

This paper reports on two empirical studies. The first was an exploratory qualitative study carried out on a sample of 30 Tunisian companies operating in different sectors. The second empirical study used a panel data regression analysis, to examine data from 46 companies listed on the Tunis Stock Exchange during the 2017 to 2021 period.

The results of the exploratory qualitative study pointed out the specificities of the Tunisian context as to the importance of CSR. The results highlighted also the importance of the 2018 CSR law in Tunisia, yet it drew attention to the non-implementation of its applying texts, meaning that CSR is not always enforced in the Tunisian context. Moreover, in this qualitative study, most companies confirmed that CSR is a key factor behind good governance practices. By studying the impact of CSR on various FP proxies, the results highlight that CSR has a positive and significant impact on FP measured by ROA as an accounting variable and stock returns as a market-measure variable. In addition, the authors confirm the moderating effect of innovation on the CSR and FP relationship. Indeed, innovation affects corporate FP differently. It hinders accounting-based FP while fostering the market-based one.

The study provides insights for managers into how CSR approaches can be used to maximize profits, improve its FP and reputation, while considering the corporate innovative capacities. CSR is a real performance lever for companies, a means of improving their economic, environmental and social efficiency. It enables companies to anticipate constraints and prevent risks, reduce certain operational costs, optimize resources, communicate a good image and stand out from the competition, gain easier access to innovation, strengthen their competitive edge, gain easier access to financing and strengthen their territorial and social roots.

The main contribution of this paper is the adoption of two empirical approaches. These two methods are complementary. The first is an exploratory qualitative approach aimed at better understanding the current state of CSR implementation by Tunisian companies. The second one is quantitative, a panel data regression analysis. Furthermore, the authors test the moderating effect of innovation on the studied link. To the best of the authors’ knowledge, this is the first paper that investigates the moderating effect of innovation on CSR FP in the Tunisian context. Finally, robustness tests were conducted to test the reliability of this study’s results.

This study investigates how human resource training and development (HRTD) shapes workplace spirituality in higher education. It delves into key factors impacting spirituality among academics, such as colleague support and e-learning initiatives. Through analytical tools like percentage analysis and Garret ranking, it divides workplace spirituality in academia, exploring the HR strategies that induce it.

(a) Type of research – Descriptive research (b) Area of research – The present study is taken up by the academicians as a respondent in selected colleges in Salem district. (c) Sampling technique – Simple random method was adopted. (d) Sources of data collection – The study comprises mixed data method that both types of data were adopted. (i) Primary data – Researcher conducted data by selecting a representative sample of the teaching faculties from various institutions employed in higher education in Salem. (ii) Secondary data – It is mostly gathered through content found on websites. (e) Method of data collection – Structured questionnaires were employed in this research to acquire the data needed for the investigation. Every item it is rated through five-point scale of with 1 denoting “Strongly Agree” to “Strongly Disagree,” this includes questions about the job, coworkers, seniors and training. (f) Research tools used – Descriptive statistics, Friedman test and Garret ranking.

Findings highlight the significance of encouraging colleagues, workplace development and online learning in fostering workplace spirituality. Faculty encouragement emerges as the most impactful HR practice, while development initiatives improve the reputation of training for new aspects. Notably, online training significantly affects workplace spirituality, increasing the influence of cultural training.

Implications for future research arise, suggesting potential models for studying workplace spirituality in academia and sparking curiosity about the connection between HR practices and spirituality.

From a practical viewpoint, the study offers actionable insights for authorities to improve workplace spirituality by supporting colleagues and emphasizing growth strategies. It outlines clear steps for organizations to create more spiritually enriching work environments.

Socially, the study advocates for healthier work cultures that impact society's perspective on work–life balance and employee well-being. It promotes positive work environments that benefit both individuals and society.

This paper's originality lies in its focus on how HRTD contributes to workplace spirituality in higher education. It emphasizes supporting colleagues, fostering growth and utilizing e-learning, offering unique insights into spirituality at work. The methodology, using structured questionnaires and statistical analysis among faculty, provides a distinct approach to studying this area.

This paper aims to propose a conceptual framework for integrating information and communication technologies (ICT) into teaching practices for educators in rural Ghana lacking computer and internet access. Bridging the rural–urban digital divide is critical for equitable quality education. This research identifies distinct infrastructure, financial, human, and socio-cultural challenges of ICT adoption in underserved Ghanaian schools through an exhaustive literature review. The framework provides tailored strategies to empower teachers to leverage ICT for innovative pedagogy despite limitations. Ultimately, the goal is to offer pragmatic, evidence-based solutions to advance ICT-enabled instruction and digital equity in marginalized settings.

This study utilizes a qualitative literature review methodology to develop a conceptual framework for ICT teaching techniques tailored to the rural Ghanaian context. Published empirical studies, theoretical papers, and reports focused on ICT education in developing countries, particularly sub-Saharan Africa, were systematically reviewed across multidisciplinary databases. Relevant theories and models, like TPACK and SAMR, were analyzed to determine appropriate modifications for the framework design. The proposed strategies emphasize affordable technologies, teacher training, localized content, and culturally relevant pedagogies selected based on evidence from literature to address the unique barriers and needs of the rural setting.

The literature review revealed profound infrastructure, financial, human, and socio-cultural barriers to ICT adoption in rural Ghanaian schools. These include lack of electricity, internet, hardware, and software alongside inadequate teacher training and support. The proposed conceptual framework offers solutions including leveraging low-cost technologies like mobile devices, prioritizing teacher professional development, developing localized digitally-enabled resources, and fostering community participation. Culturally relevant pedagogies are also emphasized. This tailored, evidence-based approach holds promise for enhancing ICT-enabled instruction and bridging digital divides to promote equitable quality education. Further findings will emerge through framework implementation and evaluation.

This conceptual framework requires implementation and evaluation to truly determine its impact and effectiveness in the intended rural Ghanaian context. As a literature review, primary data collection was not undertaken. Practical application of the framework in schools can yield direct insights through surveys, interviews, observations, and analysis of key educational outcomes pre and post-implementation. Comparisons with control groups may further illuminate its efficacy. Monitoring and adaptation over time is also essential. Ultimately, this research sets the foundation for praxis-oriented work transforming ICT integration in marginalized communities to advance digital equity and inclusion.

This research provides an evidence-based, context-aware framework with pragmatic solutions to enhance ICT-enabled teaching and learning in underserved rural Ghanaian schools. It offers guidance to teachers, administrators, and policymakers on integrating technology despite infrastructure and resource constraints. The emphasis on cost-effective innovations, educator training, localized content, and community participation can inform planning and investments in ICT education. Broader applications include adapting the framework for other developing country contexts facing comparable challenges. Overall, this work promotes digital equity and quality education access, catalyzing social development and aligning with the UN Sustainable Development Goals.

This research highlights the urgent need to address digital divides exacerbating educational inequalities between rural and urban communities in Ghana. Lack of technology access and utilization in rural schools threatens to widen gaps in skills, capabilities, and opportunities for students. Strategic integration of ICT can promote social inclusion, cultivate digital literacy, and equip youth to participate in the global digital economy, thereby enhancing prospects. More broadly, advancing digital equity and ICT-enabled education empowers marginalized groups, fosters community empowerment, and drives progressive social change. This work underscores that localized, context-appropriate solutions are pivotal for promoting development and social justice.

This research fills a crucial gap by proposing a conceptual framework tailored specifically for integrating ICT in teaching practices in rural Ghanaian schools lacking digital access, responding to context-specific barriers and needs. While extensive literature examines ICT education models globally, few studies offer localized strategies for resource-constrained environments. This framework adapts established models based on a systematic literature review, emphasizing affordability, capacity building, and cultural relevance. By synthesizing evidence-based, pragmatic solutions to advance ICT-enabled instruction in marginalized settings, this work provides a valuable foundation for praxis transforming rural education. The localization approach could inform frameworks for other developing regions.

Due to rapid digitalization, the emergence of the “phygital” environment, which blends physical and digital experiences, creates unique challenges for researchers. This paper aims to introduce an interpretivist methodological framework designed to understand consumer behavior in phygital environments. The framework enables an in-depth exploration of the contextual factors, subjective experiences, personal emotions and social networks that influence consumer behavior in this space.

The framework was developed after a thorough literature review of the phygital environment and interpretivist research landscape. Consistent with the phygital transformation theory, this approach allows researchers to go beyond the limitations of purely quantitative methods, gaining a deeper understanding of consumer behavior in phygital environments. The framework is organized into four meticulously designed pillars, each focusing on specific aspects of research and using distinct data collection and analysis approaches.

The systematic framework facilitates exploration of various dimensions of consumer experiences in phygital settings through qualitative research techniques. Uncovering the richness of contextual factors, subjective meanings, consumer experiences and social interactions within the phygital environment yields meaningful insights into consumer decision-making and preferences. These insights help marketers craft better phygital marketing strategies.

This interpretivist framework presents a unique approach for researchers hoping to investigate consumer behavior in phygital environments. It offers deep insights and understanding of this largely unexplored space, contributing to the evolving body of knowledge in phygital studies.