Search results

The increasing urgency to address climate change in construction has made green construction (GC) and sustainability critical topics for academia and industry professionals. However, the volume of literature in this field has made it impractical to rely solely on traditional systematic evidence mapping methodologies.

This study employs machine learning (ML) techniques to analyze the extensive evidence-base on GC. Using both supervised and unsupervised ML, 5,462 relevant papers were filtered from 10,739 studies published from 2010 to 2022, retrieved from the Scopus and Web of Science databases.

Key themes in GC encompass green building materials, construction techniques, assessment methodologies and management practices. GC assessment and techniques were prominent, while management requires more research. The results from prevalence of topics and heatmaps revealed important patterns and interconnections, emphasizing the prominent role of materials as major contributors to the construction sector. Consistency of the results with VOSviewer analysis further validated the findings, demonstrating the robustness of the review approach.

Unlike other reviews focusing only on specific aspects of GC, use of ML techniques to review a large pool of literature provided a holistic understanding of the research landscape. It sets a precedent by demonstrating the effectiveness of ML techniques in addressing the challenge of analyzing a large body of literature. By showcasing the connections between various facets of GC and identifying research gaps, this research aids in guiding future initiatives in the field.

The world of work is changing rapidly as a result of technology, with more workers being impacted by automation, the gig economy and temporary work contracts. This study focusses on how employees perceive their disruption knowledge and how this perception impacts their career planning, career satisfaction and training behaviors.

The authors use data from 1,516 employees across a broad range of industries and professions from the United States (n = 505), New Zealand (n = 505) and Australia (n = 506).

The authors find that an employee's knowledge and research into automation positively influence how employees plan their careers, their career satisfaction and their training behaviors. While career planning is positively related to career satisfaction and training behavior, career satisfaction is negatively related to training behaviors. The authors test mediation effects and find consistently significant indirect effects, and these findings are all largely replicated across the three countries.

This study highlights the importance of understanding the processes that employees go through when thinking about disruption knowledge, their careers and the impact on their training behaviors.

The construction industry is complex, human-intensive and driven by monetary values. Hence, disputes are widespread. Initial conflicts among parties may develop into a disastrous dispute that costs the project success and good relationships and affects stakeholders' expectations. There has been a focus on causes of construction-related disputes, and studies over the past three decades have attempted to identify a more comprehensive list of reasons for disputes. Some of these studies' limitations were geographical, project delivery methods and project types. The purpose of this study is to identify the most recent and conclusive list of causes of disputes based on current literature by undertaking a systematic literature review (SLR).

Considering the large number of studies that focused on causes of disputes, this study aims to develop a comprehensive list of causes, using a SLR, as it ensures that all previous articles in multiple databases are reviewed to produce a comprehensive outcome. A six-stage SLR was followed from background study to analysis and reporting.

Not surprisingly, the number of publications has increased over time, most from the Middle East region. The interconnected nature of the causes was widely emphasised. The SLR has produced eight common core causes of disputes. They are: poor contractual arrangements, employer-initiated scope changes, unforeseen site changes, poor contract understanding and administration, contractor’s quality of works, the inability of the contractor to achieve time targets, non- or delayed payments and poor quality of design. The majority of previous authors realised that disputes could be avoided by parties’ involvement during the early stages, avoiding being opportunistic and acting collaboratively.

Even though numerous studies have been carried out to identify the causes of disputes in the construction industry, none did a SLR. This study aggregates all the previous studies that focused on construction-related disputes systematically. Categorising causes based on the party primarily responsible help various stakeholders by providing a distinct list of factors to avoid that contribute to disputes.

In this paper, the authors will examine Welch's legacy and aftermaths, both for GE and more broadly within management practice and academic thought. As a complex character, indeed a person of many contradictions, the authors try to avoid polemics in this, instead focusing on his accomplishments and the unanswered questions about his impact.

This paper is a historical case using secondary and published materials to assess the case of Jack Welch's leadership of General Electric over the period 1981–2001.

Welch's proponents suggest he emphasized controlling corporate destiny, being open to new ideas, pursuing quality and low cost, having confidence, a vision founded on reality, a global focus and possessing energy and enthusiasm. However, his short-termist perspective undermined the long-term success of the company and his “win at any cost” mantra predisposed some employees to cutting ethical or environmental corners. As the market capitalization gains evaporated that had been used to justify the “end justifies the means” rationale, little is left of his legacy.

The paper discusses the implications of the GE case for issues associated with corporate governance, financialization and human resource management.

This is a timely reconsideration of the Jack Welch legacy two years after his death. In avoiding polemics and seeking a considered assessment of his positive and negative outcomes, the paper is an important addition to the research on Welch and American management thought.

The purpose of this study is examined whether coproduction appears spontaneously in the literature on public sector innovation and governance, the citizens’ role in coproduction and the implication of citizens’ participation in the governance of innovation networks.

The review complied with preferred reporting items for systematic reviews and meta-analyses (PRISMA) protocol. The search was performed in the Ebsco, Scopus and WOS databases. The authors analyzed 47 papers published from 2017 to 2022. Thematic and content analysis were adopted, supported by MAXQDA.

The papers recognize the importance of the citizens in public innovation. However, only 20% discuss coproduction, evidencing the predominance of governance concepts related to interorganizational collaborations – but not necessarily to citizen engagement. The authors also verified the existence of polysemy regarding the concept of governance associated with public innovation, predominating the term “collaborative governance.”

The small emphasis on “co-production” may result from the search strategy, which deliberately did not include it as a descriptor, considering the research purpose. One can consider this choice a limitation.

Considering collaborative governance as a governing arrangement where public agencies directly engage nonstate stakeholders in a collective decision-making process that is formal, consensus-oriented and deliberative (Ansell and Gash, 2007), the forum where the citizen is supposed to be engaged should be initiated by public agencies or institutions and formally organized, as suggested by Österberg and Qvist (2020) and Campomori and Casula (2022). These notions can be useful for public managers concerning their role and how the forums structure should be to promote collaboration and the presence of innovation assets needed to make the process fruitful (Crosby et al., 2017).

Despite the collaborative nature of public innovation, the need for adequate governance characteristics, and the importance of citizens in the innovative process, most studies generically address collaborative relationships, focusing on interorganizational collaboration, with little focus on specific actors such as citizens in the governance of public innovation. Thus, it is assumed that the literature that discusses public innovation and governance includes the discussion of coproduction. The originality and contribution of this study is to verify this assumption.

Prior research has revealed that a large share of managers is reluctant towards the use of artificial intelligence (AI) in decision-making. This aversion can be caused by several factors, including individual drivers. The purpose of this paper is to better understand the extent to which individual factors influence managers’ attitudes towards the use of AI and, based on these findings, to propose solutions for increasing AI adoption.

The paper builds on prior research, especially on the factors driving the adoption of AI in companies. In addition, data was collected by means of 16 expert interviews using a semi-structured interview guideline.

The study concludes on four groups of individual factors ranked according to their importance: demographics, familiarity, psychology and personality. Moreover, the findings emphasized the importance of communication and training, explainability and transparency and participation in the process to foster the adoption of AI in decision-making.

The paper identifies four ways to foster AI integration for organizational decision-making as areas for further empirical analysis by business researchers.

This paper offers four ways to foster AI adoption for organizational decision-making: explaining the benefits and training the more adverse categories, explaining how the algorithms work and being transparent about the shortcomings, striking a good balance between automated and human-made decisions, and involving users in the design process.

The study concludes on four groups of individual factors ranked according to their importance: demographics, familiarity, psychology and personality. Moreover, the findings emphasized the importance of communication and training, explainability and transparency and participation in the process to foster the adoption of AI in decision-making.

This study is one of few to conduct qualitative research into the individual factors driving usage intention among managers; hence, providing more in-depth insights about managers’ attitudes towards algorithmic decision-making. This research could serve as guidance for developers developing algorithms and for managers implementing and using algorithms in organizational decision-making.

States have intervened with legislation to improve cashflow within construction project supply chains. The operation of the UK’s Housing Grants, Construction and Regeneration Act 1996 leads to payment obligations stated either as a contract administrator’s certificate (or equivalent) or an adjudicator’s decision. The purpose of the intervention would be defeated unless there are speedy ways of transforming these pieces of paper into real money. The combination of the legislation, contractual provisions and insolvency law has produced a minefield of complexity concerning enforcement of payment obligations stated in these documents. Unfortunately, the knowledge and understanding required to navigate these complexities have been sorely lacking. The purpose of this paper is to plug this gap.

Legal research methods and case study approaches, using relevant court decisions as data, were adopted.

The enforcement method advised by the court is the summary judgment procedure provided under the Civil Procedure Rules. An overdue payment obligation, either under the terms of a construction contract or an adjudicator’s decision, amounts to a debt that can be the subject of insolvency proceedings. Although the insolvency enforcement method has been successfully used on some occasions, using it purely as a debt collection weapon would be inappropriate and likely to be punished by the court.

The paper contributes to knowledge in two ways: (i) it maps out the factual situations in which these payment challenges arise in language accessible to the construction industry’s professions; and (ii) comparative analysis of payment enforcement methods to aid decision-making by parties to construction industry contracts. It is relevant to the other common-law jurisdictions in which similar statutory interventions have been made.

Thus, this study aims to determine the status-quo of research on the role of IT in M&A from 2010 to 2022 by providing a summative meta-analysis of this phenomenon.

This study presents a meta-analysis of mergers and acquisitions (M&A) research in information systems (IS), aimed at accounting for themes in M&A literature over the past 13 years, research methodology, research frameworks, level of analysis and geographical distribution. A total of 47 articles from 24 peer review articles and 23 conference publications were analyzed from 2010 to 2022.

Findings of the study suggest that M&A research in IS emphasizes IS integration at the expense of other under-explored dimensions such as M&A context, stakeholder involvement and within-firm conditions. Although studies on M&A have increased over the past 10 years, a significant number of studies have not been underpinned by models and theories. Also, a large number of studies adopted the qualitative approach as research methodology compared to quantitative, design science and mixed methods.

This study contributes to the literature on M&A in IS by proposing an M&A in IS research framework that bridges the gap between existing and future studies on M&A in IS research by shedding more light into well research areas and opportunities for further studies.

The purpose of this paper is to analyze theory of inventive problem-solving (TRIZ) in terms of knowledge, skill, workload and affect to understand its effectiveness in enabling designers to achieve their optimized mental performance.

TASKS framework, which aims to capture the causal relations among Task workload, affect, skills, knowledge and mental stress, is adopted as our methodology. The framework supports the analysis of how a methodology influence designer’s affect, skills, knowledge and workload. TRIZ-related publications are assessed using the TASKS framework to identify the barriers and enablers in TRIZ-supported design.

TRIZ has limitations on its logic and tools. Nevertheless, it could create a beneficial impact on mental performance of designers.

This paper provides a theory-driven TRIZ usability analysis based on the materials in the literature following the TASKS framework. The impact of TRIZ, as an enabler or a barrier, has been analyzed in accomplishing a design task.