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The purpose of this study is to understand how the level of readiness for artificial intelligence (AI) affects the overall performance of companies, determine the role of organizational flexibility in adapting to new technologies and business models and assess the importance of lean sustainability and value creation for technology-focused companies.

Technology companies working in technoparks in Istanbul were determined, and a questionnaire was applied to senior employees such as experts, engineers and managers working in these companies. The results were processed with a sample of 456 units. SmartPLS program was used for analysis.

As a result of the analyzes, it is supported by hypotheses that AI readiness and organizational flexibility have positive effects on lean sustainability and value creation.

When evaluated in terms of the limitations of the research, it would not be correct to evaluate the results of the analysis in general, since the data were collected from technology-focused companies in technoparks in Istanbul.

Examining the variables that make up the research model in technology-oriented companies helps to understand the critical factors for the future success of companies. At the same time, this research is important for companies to make more informed decisions in their strategic planning, technological transformation processes and value creation strategies.

This research topic offers a unique approach in terms of bringing together topics such as AI readiness, organizational flexibility, sustainability and value creation. These issues play an important role in the strategic planning of technology-focused companies, and when considered together, they are important in terms of examining the critical factors that affect the future success of companies.

This study aims to examine the performance indicators (PIs) for assessing environmental management plan (EMP) implementation in road construction projects. The specific objectives are to compare the key PIs between environment auditors and environment officers and among project stakeholders, develop components to categorize interrelated key PIs and evaluate the effectiveness of interrelated key PIs and components.

Thirty-nine PIs were identified through a systematic literature review and in-depth interviews with environmental professionals. Subsequently, a questionnaire survey was designed based on this list of PIs and distributed to industry professionals. Sixty-one responses were collected in Malaysia and analyzed using the mean score ranking, normalization, agreement analysis, overlap analysis, factor analysis and fuzzy synthetic evaluation.

The analyses identified 18 key PIs: soil erosion, dust appearance, spill of chemical substance, construction waste, clogged drainage, overflowed silt trap, oil/fuel spills, changes in the colour of bodies of water, excessive cut and fill, vegetation depletion, changes in the colour of the runoff water, landslide occurrence, slope failures, irregular flood, public safety, deforestation, open burning and increased of schedule waste. Also, the key PIs can be grouped and ranked into the following four components: geological, pollution, environmental changes and ecological. Finally, the overall importance of the key PIs is between important and very important.

This study is a pioneer in quantitively examining the key PIs for EMP implementation in road construction projects. Researchers, industry practitioners and policymakers can use the findings to develop strategies and tools to allow public monitoring of EMP implementation.

Brand heritage has gained traction in the B2C literature. However, its effects on the relationship with buyers in a B2B context, as well as the mechanisms for and conditions under which such effects are observed, remain underexplored. This study aims to examine and provide empirical evidence for perceived quality and identification – two critical determinants of close B2B relationships – as mechanisms that explain the effects of suppliers’ brand heritage on buyer loyalty. Further, this research identifies past time orientation and supplier size as boundary variables for the positive effects of suppliers’ brand heritage.

Three empirical studies were conducted to test the conceptual model. In Study 1, 211 professional buyers participated in a cross-sectional study by completing an online questionnaire. The data were analyzed through Partial least squares structural equation modeling. In Studies 2 and 3, 235 and 465 individuals, respectively, with professional experience in negotiation participated in experimental studies, providing support for causality across the hypotheses. Moderated mediation and floodlight analysis were performed.

This research provides consistent evidence for the hypotheses. First, the findings show that suppliers’ heritage positively affects buyer-supplier identification and quality perceptions in B2B markets, these variables mediating the effect of supplier brand heritage on trust. Second, the authors found support for past-time orientation and supplier size as boundary conditions. Specifically, past-oriented buyers tend to be more loyal toward suppliers boasting a heritage, and such heritage prompts stronger buyer-supplier identification for larger (versus smaller) suppliers.

Caution is needed when generalizing the results observed in this research to broader populations. Because the data were collected only in France and the USA and not in a broader set of countries, generalizability to other cultural settings may be limited. In addition, other effects of supplier heritage on buyer perceptions or behavior could be explored in the B2B branding context. For instance, future studies could explore the relationship between B2B brand heritage and legitimacy, a variable of strong interest for company performance.

Supplier – especially those of larger firms – managers should select the facets and episodes from their company’s heritage most likely to elicit identification. In this regard, companies can extol their brands in different ways to enhance buyers’ perception of heritage and, subsequently, identification. Building on the notion that distinctiveness, warmth and memorable experiences are strong drivers of identification, B2B brands would gain in communicating about themselves as having a unique and distinctive heritage through the success or personality of current or past leaders (e.g. CEOs, founders) or the successes of brand products or services over time.

To the best of the authors’ knowledge, this research is the first to explore the influence of supplier brand heritage on buyer-supplier relationship and loyalty in the B2B context. Beyond mere quality, this research finds buyer-supplier identification as a mechanism explaining why suppliers’ brand heritage boosts buyers’ loyalty. This research also determines the conditions (i.e. past-time orientation and supplier size) in which the effects of brand heritage are seen in supplier-buyer relationships.

This research aimed to identify the optimal plasma cutting parameters for enhancing the quality and efficiency of steel alloy processing. Systematic experiments, supported by microstructure analyses and the Taguchi method, were conducted to determine the ideal settings for minimizing defects and resource consumption while ensuring high-quality cuts.

The study employed a systematic approach to determine optimal plasma cutting parameters for enhancing steel alloy processing. Experiments were conducted using a Kawasaki RS-010L robotic manipulator, powered by a DS 120P.33 inverter power supply. A range of plasma cutting parameters, including current, voltage, cutting speed and airflow, were carefully examined to achieve high-quality cuts while minimizing resource consumption. The Taguchi method was applied to optimize key responses – cutting angle, cutting width and burr formation – providing deeper insights into the influence of each parameter and identifying conditions for further refinement.

The study successfully identified the optimal plasma cutting parameters for steel alloy processing. Practical experimentation determined that a current of 50 A, voltage of 118 V, cutting speed of 3,200 mm/min and airflow of 1.9 × 10^–3 m³/s produced a smooth cutting surface, minimal burr formation and a cutting angle within ±4° relative to the surface. The Taguchi method determined optimal settings to minimize angle and cutting width: 126 V, 4,400 mm/min and airflow of 2.3 × 10^–3m³/s for angle and 118 V, 4,400 mm/min and 1.9 × 10^–3m³/s for cutting width. Microstructure analysis confirmed uniformity and conformed to International Organization for Standardization 9013:2002 standards for cut quality.

This research advances steel alloy processing by combining experimental methods and the Taguchi method to determine optimal plasma cutting parameters for 6 mm thick steel 09G2S, addressing a gap in studies focused on specific materials. Unlike general studies, these results are tailored to low-carbon, low-alloy steels, providing actionable guidance for achieving efficient, high-quality cuts while minimizing waste and improving weldability and ductility. This work contributes to cost-effective and sustainable practices in the metal fabrication industry.

This study aims to investigate the impact of entrepreneurial leadership on the innovation performance of new venture enterprises in Northeast China. Utilising the upper echelon theory (UET), resource-based view (RBV) and a quantitative research design with SmartPLS analysis, it seeks to understand how entrepreneurial leadership influences innovation outcomes.

Grounded in the upper echelon theory (UET) and resource-based view (RBV), this paper constructs a structural equation model to establish the mediating roles of innovation climate and absorptive capacity in the relationship between entrepreneurial leadership and innovation performance. The study sample comprises 398 employees from new venture enterprises in Northeast China. The analysis uses SmartPLS to validate the mediating effects of organisational innovation climate and absorptive capacity on the relationship between entrepreneurial leadership and innovation performance.

The study confirms that innovation climate and absorptive capacity mediate the relationship between entrepreneurial leadership and innovation performance, exerting a positive influence.

This research fills the gap in the literature regarding the impact of entrepreneurial leadership on the innovation performance of new ventures. Furthermore, it elucidates the mediating mechanisms of entrepreneurial leadership on innovation performance, contributing insights of both academic and practical significance.

This study aims to examine how perceived supervisor and organizational support mediate the association between talent management and work engagement in Bangladesh’s manufacturing industry. It also analyzes the association between work engagement and sustainable organizational performance.

A structured survey questionnaire was used to collect data from 385 employees working in the manufacturing industry in the Chattogram division, applying a convenience sampling approach. Data was assessed using SmartPLS software.

The key findings are that perceived supervisor and organizational support mediate the relationship between talent management practices and work engagement. Moreover, work engagement positively influences an organization’s sustainable performance.

This study adds knowledge to the existing literature on talent management, work engagement and sustainable organizational performance. The findings may improve employee work engagement through talent management practices in Bangladesh’s manufacturing industry.

This study is one of the few in the Bangladeshi manufacturing industry that provides an extensive overview of talent management practices and work engagement, using perceived supervisor and organizational support as mediating variables.

The purpose of this scoping rapid review was to identify and analyse existing qualitative methodologies that have been used to investigate K-12 teachers' lived experiences of adult cyber abuse as a result of student content “going viral” to propose a novel methodological stance incorporating the Australian Online Safety Act 2021.

A search of Google Scholar was conducted using keywords and phrases related to cyber trauma, teachers, qualitative methods and the Online Safety Act. Inclusion criteria for the review were: (1) published in English, (2) focused on teachers' experiences of online abuse and cyberbullying associated with viral posts and (3) employed a qualitative inquiry methodology. Full-text articles were obtained for those that met the inclusion criteria. Data were extracted and analysed using a PRISMA flowchart and inductive thematic analysis.

This methodology is considered to be justified, as the eSafety Commissioner's Safety-by-Design principles do not have any legal or regulatory enforceability, whereas the Online Safety Act 2021 provides the Australian eSafety Commissioner an avenue to drive greater algorithmic transparency and accountability.

The findings of this review informed the development of a novel methodological stance for investigating Australian teachers' lived experiences of adult cyber abuse associated with viral posts. It provides a methodological positioning to support trauma informed qualitative research into adult cyber abuse, informed by the work of the eSafety Commissioner and the Online Safety Act.

Cybertrauma is described as “any trauma that is a result of self- or, other-directed interaction with, mediated through, or from any electronic Internet/cyberspace ready device or machine learning algorithm, that results in impact now or the future” (Knibbs, 2021). It may result from the tracking of movement through various mobile phone features and applications such as location sharing, non-consensual monitoring of social media, and humiliation or punishment through the sharing of intimate images online, through to direct messages of abuse or threats of violence or humiliation. These actions are further perpetuated through automated searches, insights and recommendations on social media (i.e. engagement metrics promote memes, Facebook posts, Tweets, Tiktoks, Youtubes and so on). This is a novel methodology, as it not only considers direct cybertrauma but also automated forms of cybertrauma.

We focus on multi-level heterogeneity in board interlocks by accounting for the experience of the “tied-to” firm and the efficacy of the channel for knowledge transfer. Specifically, we study the role of board interlocks of a focal firm with cross-border acquirers and their implications on the entry mode decision (greenfield vs acquisitions). While studying board interlocks, we also consider the type of directors (inside vs independent) that form the interlocks. We situate our research within the context of knowledge-intensive industries in emerging markets. By focusing on heterogeneity in board interlocks, we consider the interplay between experiential and vicarious learning and its implication on a firm’s foreign market entry mode choice.

We conduct our analysis on a propriety dataset of 450 foreign market entries by Indian firms belonging to knowledge-intensive industries during the period 2003 to 2013. We use a binomial logistic regression model to analyze the choice between greenfield ventures and cross-border acquisitions.

We find that firms are more likely to choose cross-border acquisitions over greenfield ventures when connected to other cross-border acquirers through inside and independent director interlocks. However, this effect is more substantial for inside director interlocks. Foreign institutional investors’ shareholding weakens the impact of inside director interlocks but strengthens the effect of independent director interlocks. A firm’s cross-border acquisition experience weakens the impact of independent director interlocks. Still, it enhances the effect of inside director interlocks on the likelihood of choosing cross-border acquisitions over greenfield ventures.

The study highlights heterogeneity in board interlocks and the effectiveness of channels of transfer of learning. It also highlights boundary conditions of board interlocks’ effectiveness in shaping the entry mode decision by elucidating the biases within different actors in the organizational learning process.

This study assesses the impact of biogas adoption on household energy use and livelihood improvement. Also, this study aims to clarify the benefits of biogas adoption as a pathway to sustainable household energy.

The study explored the benefits of adopting biogas uptake. Fourteen sustainability indicators were identified, validated and categorized.

Adopting biogas technology provides numerous benefits, including better air quality, reduced deforestation and lower greenhouse gas emissions. Households can replace up to 4.5 tons of wood fuel, cutting CO₂ emissions by around 6.75 tons annually. This shift saves approximately US$25 (Ksh.3223) monthly and frees up 45.5 h per week, enabling families to pursue additional income-generating activities. Biogas also produces digestate, a natural fertilizer that improves soil fertility, water retention and reduces erosion while minimizing the need for chemical fertilizers. Integrating biogas in livestock housing reduces odors, pathogens and methane emissions.

The findings demonstrate numerous social, economic and environmental implications of biogas use.

Health benefits include lower exposure to smoke and particulate matter, particularly benefiting women and children by reducing respiratory issues, improving lighting and enhancing educational opportunities. Biogas further improves hygiene, promotes cleanliness, strengthens energy security and alleviates energy poverty. In addition, the construction, operation and maintenance of biogas systems create jobs, and the use of digestate enhances agricultural productivity.

This study provides a unique and thorough analysis of the benefits of biogas, offering valuable insights and outlining a sustainable approach.

This study aims to examine the association between transformational leadership, employee well-being and job satisfaction, focusing on the mediating role of employee well-being in the association between transformational leadership and job satisfaction.

Data for this purpose were gathered by the authors through a questionnaire survey, with 180 employees at health center IV hospitals in Uganda serving as the sample. To test the theoretical model, a PROCESS Model Type 4 mediation analysis was performed.

The findings demonstrate a slightly favorable association between transformational leadership and job satisfaction, transformational leadership is positively related to employee well-being as well as a positive association between employee well-being and job satisfaction. Moreover, the outcomes of the mediation analysis verify that employee well-being acts as a mediator in the association between transformational leadership and job satisfaction.

Health-care organizations should invest in leadership training programs that develop transformational leadership skills. Leaders, who can inspire, intellectually stimulate and provide individualized consideration can significantly enhance employee well-being, which in turn boosts job satisfaction. Establish ongoing development initiatives to ensure that leadership skills remain sharp and evolve with changing health-care demands.

This study adds to the body of knowledge in organizational behavior by examining the relationship in detail between transformational leadership, employee well-being and job satisfaction. In addition, this study was carried out in a developing nation, which might usually produce results that differ from those of studies carried out in developed nations.