Search results

It is generally assumed that career‐enhancing strategies are instrumental in the career self‐management process. Yet, there is a paucity of empirical research on the predictors of career‐enhancing strategies. Using a career strategy model as a guiding framework, this paper examined the relationship of motivational attributes and organizational experiences with career‐enhancing strategies (expertise development, self‐nomination and networking). Motivational attributes were conceptualized as advancement motivation and work/career centrality, whereas organizational experiences incorporated advancement prospects and job security. Questionnaire data were collected from full‐time public sector employees (N = 288) in the UK. The results indicated that, according to expectations: advancement prospects were positively and consistently related to all three career‐enhancing strategies; advancement motivation was positively related to expertise development and self‐nomination; and work‐orientated centrality was positively related to expertise development and networking. The theoretical and practical implications of these findings are discussed, together with avenues for further research.

This study aims to propose and evaluate the progress in the basic-pixel (a strategy to generate continuous trajectories that fill out the entire surface) algorithm towards performance gain. The objective is also to investigate the operational efficiency and effectiveness of an enhanced version compared with conventional strategies.

For the first objective, the proposed methodology is to apply the improvements proposed in the basic-pixel strategy, test it on three demonstrative parts and statistically evaluate the performance using the distance trajectory criterion. For the second objective, the enhanced-pixel strategy is compared with conventional strategies in terms of trajectory distance, build time and the number of arcs starts and stops (operational efficiency) and targeting the nominal geometry of a part (operational effectiveness).

The results showed that the improvements proposed to the basic-pixel strategy could generate continuous trajectories with shorter distances and comparable building times (operational efficiency). Regarding operational effectiveness, the parts built by the enhanced-pixel strategy presented lower dimensional deviation than the other strategies studied. Therefore, the enhanced-pixel strategy appears to be a good candidate for building more complex printable parts and delivering operational efficiency and effectiveness.

This paper presents an evolution of the basic-pixel strategy (a space-filling strategy) with the introduction of new elements in the algorithm and proves the improvement of the strategy’s performance with this. An interesting comparison is also presented in terms of operational efficiency and effectiveness between the enhanced-pixel strategy and conventional strategies.

The purpose of this study is to scrutinise individual learning strategies in their workplace when they were experiencing digital innovation. Moreover, the respective enablers and challenges of each category of strategies were explored to conceptualise supporting features needed in the digital learning environment.

This study adopts a qualitative inquiry to understand employees’ workplace learning strategies and the respective enablers, and challenges in each category of strategies. Twenty employees across different industries were interviewed, and a two-cycle inductive coding analysis was adopted to identify the categories of learning strategies.

Four categories of workplace learning strategies were identified: self-driven, social-leveraged, enterprise-oriented and information and technology-enhanced (IT-enhanced) strategies. Enablers and challenges of each category were also presented in this study.

The findings provide insights for individuals to establish a repertoire of learning strategies. The inadequate use of IT-enhanced strategies is additionally addressed.

This study examined workplace learning strategies in the context of digital innovation. Based on the empirical findings and existing literature, this study proposes a framework with the supporting features for a digital learning environment.

The purpose of this study was to analyse institutional strategy documents relating to technology-enhanced learning.

In total, 84 documents were sampled from 71 leading higher education institutions (HEIs), identified through the Quacquarelli Symonds World University Rankings 2018. Qualitative content analysis with a directed approach was used to analyse the strategy documents. The specific theory used was disruptive innovation. The use of “innovation”, or variants thereof, was counted in each document. Ten case studies from the sample were used for content analysis.

Technology-enhanced learning-related strategy documents are conservative, advocating the more efficient use of existing technologies, or the incremental enhancement of existing technologies, but not transformation through technology.

By evaluating the extent to which selected institutional strategies engage with innovation in technology-enhanced learning, this study argues HEIs advocate sustaining innovation or efficiency innovation to a greater extent than disruptive innovation.

This study aims to predict artificial intelligence (AI) technology development and the impact of AI utilization activity on companies, to identify AI strategies dealing with the broad innovation activity of AI, and to construct the strategic decision-making framework of AI strategies for a small- and medium-sized enterprise (hereafter SME), to improve strategic decision-making practices of AI strategy in SMEs.

This study used the multiple methods on the design of two data collection stages. The first stage is an expertise-based approach. It organized the three groups of expert panels and conducted the Delphi survey on them in combination with the brainstorming of technology, innovation and strategy in the fourth industrial revolution. The second stage is in the complement approach of expertise-based results. It used the literature review to involve the analysis of academic and practical papers, reports and audio materials relating to technology development, innovation types and strategies of AI. Additionally, it organized the four semi-structured interviews. Finally, this study used the mind-map and decision tree to conduct each analysis and synthesize each analytical result.

This study identifies the precondition and four paths of AI technological development classifying into specialized AI, AI convergence with other technologies, general AI and AI control methods. It captures the impact of non- and technological innovation through AI on companies. Second, it identifies and classifies the six types of AI strategy: the bystander, capability-building, capability-holding, management-enhancing, market-enhancing and new-market-creating strategy. By using the decision tree, it constructs the strategic decision-making framework containing six AI strategies. Actionable points, strategic priorities and relevant instruments are suggested.

The strategic decision-making framework covering from AI technology development to utilization in a SME can help understand the strategic behaviours in SMEs. The typology of six AI strategies implies the broad innovation behaviours in SMEs. It can lead to further research to understand the pattern of strategic and innovation behaviour on AI.

This practical study can help executives, managers and engineers in SMEs to develop their strategic practices through the strategic decision framework and six AI strategies.

This practical study elicits the six types of AI strategy and constructs the strategic decision-making framework of six AI strategies from AI technology development to utilization. It can contribute to improving the practices of strategic decision-making in SMEs.

Supply chain literature highlights that environmental uncertainty (EU) encourages firms to integrate their business strategies and develop strategic flexibility (SF). The authors’ use the dynamic capability view (DCV) to explain why the EU motivates firms to develop SF and integrate business strategies for better supply chain coordination (SCC) and enhanced performance. This study tests the role of SCC as a mediator between (1) business strategy integration (BSI) and operational performance, and (2) SF and operational performance. The study also measures the contingent effect of structural constructs on the relationship between EU, BSI and SF.

Data of 356 firms drawn from the continuous innovation network (CINet) are used in this paper. Structural equation modeling (SEM) is used to test the direct, indirect and moderation hypotheses.

The paper finds that EU enhances SF and BSI. Further, BSI has a significant positive impact on SCC that drives operational performance. The paper also finds that SF has no direct impact on SCC rather it affects SCC through BSI. SCC mediates the relationship between (1) SF and operational performance, and (2) BSI and operational performance. The organization's structural factors including connectedness and formalization moderate the effect of EU on BSI and SF.

The paper extends debate at the interface of supply chain risk and strategy literature and provides a specific understanding of the “external-internal-external” mechanism in the context of the turbulent business environment. This mechanism helps to understand why and under what structural conditions EU (external) leads to BSI and SF (internal). Further, BSI and SF (internal) help firms to manage SCC (external) effectively that in turn improve operational performance.

Discusses the agency issues underlying corporate governance, refering to research on managerial attitudes/incentives for maximizing shareholder value and pressures to align the interests of directors and shareholders. Reports a survey of finance executives in 175 large firms in 7 EU countries to analyse their strategies and the influence of pressure groups on strategy choice. Shows that market leadership and increased operating margins are the most successful operating strategies; changing productive capacity, generating new/better products and buying business with complementary products are the best investment strategies; and a leveraged buyout is the most effective capital strategy to maximize shareholder returns. Adds that UK managers (like US managers) have a shorter term focus than other European managers, perhaps because their relationships with institutional investors are less close.

This paper aims to investigate the impact of retrenchment strategy on firm performance in the context of Pakistani firms while considering the moderating role of chief executive officer (CEO) power. By examining the influence of CEO duality and CEO share ownership on the relationship, this study contributes to strategic management and corporate governance knowledge within the Pakistani business environment.

A quantitative approach was used to analyze the relationship using data from annual financial statements. The sample consisted of 76 companies from the KSE-100 index from the year 2015 to 2020. Random effects regression models were used, along with hierarchical regression to explore the moderating effect of CEO power.

The findings demonstrate that the implementation of a retrenchment strategy positively impacts firm performance in Pakistani firms. The study also reveals that CEO power plays a crucial role in strengthening the relationship between retrenchment strategy and firm performance. Moreover, the study highlights the importance of considering the temporal sequence, size and age of firms when examining the impact of CEO power and retrenchment strategy on firm performance.

The study enhances the understanding of the contingent nature of retrenchment strategies and the influence of CEO power in the Pakistani business context. Practically, the research contributes to strategic management and corporate governance dynamics, facilitating the development of strategies that enhance firm performance and sustainability in Pakistan.

This research provides original insights by specifically focusing on the Pakistani context and analyzing the interplay between retrenchment strategy, CEO power and firm performance. The study adds to the limited literature on the relationship between retrenchment and performance in the Pakistani business environment. Additionally, it highlights the significance of CEO power as a critical factor in determining the success of retrenchment.

The importance of smartphones in enhancing students learning, research and development is well-established in many published studies. Nevertheless, due to numerous challenges, Nigerian students are yet to reap from the benefits of smartphones in terms of accessing vital information for learning and development. Therefore, this study aims to develop a framework that will enhance Nigerian students’ ability to use smartphones for learning.

The SERVQUAL Theory Framework is adapted to actualize the research aim. Moreover, a qualitative (in-depth interview) research approach was used to interview 60 students from 3 public universities in Nigeria. Purposive sampling technique was used to select the interviewees, and the interview data were analysed using thematic content analysis.

The findings identified the critical constraints that deter Nigerian students from reaping the full potential of smartphones for learning. The constraints are categorized into three groups which include telecommunication companies’ hiccups, such as high cost of internet, poor network services and coverage; government obstacles, such as high tax policies, insufficient electricity supply and lack of basic infrastructure; and university barriers, such as unavailability of Wi-Fi connection for students, lack of equipped university libraries and poor management.

Thus, a holistic Framework for Enhancing Students Smartphones Learning Ability was established to provide fundamental recommendations to the Nigerian Government, telecommunication companies in Nigeria and Nigerian universities to tackle the pressing issues hindering Nigerian students from using their smartphones for learning. This will enhance the smartphone learning experience of Nigerian students.

This study aims to investigate the relationship between dynamic capabilities and sustainable business performance in Vietnamese small- and medium-sized enterprises (SMEs), focusing on the mediating role of digitalization strategies. Specifically, the authors seek to explore whether and how the three critical characteristics of dynamic capabilities (DCs) – sensing, seizing and transforming capabilities – are linked to business model innovation (BMI) or sustained performance and what dimensions contribute to their development and adoption in digitalization strategies.

The authors analyse a sample of 596 Vietnamese SMEs using a validated measurement framework to explore the three clusters of DCs activities and their contributions to digitalization strategies, BMI and sustainable business performance across economic, social and environmental dimensions.

The study highlights the pivotal role of sensing, seizing and transforming capabilities in the adoption of digitalization strategies, BMI, as well as in promoting sustainable business performance. Firstly, sensing capability profoundly influences product digitalization strategy, whereas seizing capability has the greatest impact on process digitalization strategy. Secondly, sensing and transforming capabilities significantly contribute to BMI. Thirdly, both process and product digitalization strategies exert a significant positive influence on sustainable business performance, especially the environmental dimension. Finally, the study exhibits the indirect impacts of seizing and sensing capabilities on sustainable business performance through product and process digitization strategies.

This study extends recent research by investigating the DCs underlying a firm’s digitalization strategies and contribute to ongoing calls for further investigation in the DCs literature. This research design, which draws from a validated measurement framework, responds to recent calls to broaden the toolkit used in DCs research. The practical implications of this study can benefit SMEs in Vietnam and beyond as they seek to enhance their digitalization strategies and achieve sustainable competitive advantage.