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Although earlier research suggests a positive relationship exists between engaging in entrepreneurial marketing activities and firm performance, there may be contingent issues that impact the association. This investigation unpacks the relationship between entrepreneurial marketing behaviour and firm performance under the moderating role of coopetition, in an immediate post-COVID-19 period.

A resource-based theoretical lens, alongside an outside-in perspective, underpins this study. Following 20 field interviews, survey responses via an online survey were obtained from 306 small, passive exporting wine producers with a domestic market focus in the United States. The data passed all major robustness checks.

The statistical findings indicated that entrepreneurial marketing activities positively and significantly influenced firm performance, while coopetition provided a non-significant moderation effect. Field interviews suggested that entrepreneurs’ attemps to scale up from passive to more active export activities in an immediate post-pandemic period helped explain the findings. Owner-managers rejoined trustworthy and complementary pre-pandemic coopetition partners in the immediate aftermath of coronavirus disease 2019 (COVID-19) for domestic market activities. In contrast, they had to minimise risks from dark-side/opportunistic behaviour when joining coopetition networks with partners while attempting to scale up export market activities.

Unique insights emerge to unpack the entrepreneurial marketing–performance relationship via the moderation effect of coopetition, namely, with the temporal setting of an immediate post-COVID-19 period. Firstly, new support arises regarding the likely performance-enhancing impact of owner-managers’ engagement in entrepreneurial marketing practices. Secondly, novel findings emerge in respect of the contrasting role of coopetition in both domestic and export market activities. Thirdly, new evidence arises in relation to a resource-based theoretical lens alongside an outside-in perspective, whereby, strategic flexibility in pivoting facets of a firm’s business model needs effective management following a crisis.

In this case study, we offer an analysis of feedback from a student experience survey completed by Black undergraduate students who received proactive, targeted coaching and mentoring support during 2021–2022. All the students were studying at a large higher education institution in the United Kingdom which offers a broad range of degree courses by distance learning.

This paper reports on the intervention delivered and analyses the student experience of being offered, and receiving, proactive coaching and mentoring. It is based on the responses of 102 students who engaged with the experience survey after having self-selected to receive the intervention. What follows is an analysis of their experiences using a qualitative in vivo approach based on word frequency in students’ free-text comments.

The findings presented are that, in this intervention, students who self-select to receive coaching and mentoring support experience tangible (self-reported) behaviour changes with potentially longer term benefits for their studies. These include improved self-confidence and self-efficacy, increased proactive help-seeking behaviour, greater recognition of strengths and achievement and personal growth and self-awareness.

In presenting this case study, we aim to contribute to the growing corpus of practitioner case studies and research papers that show the benefits of coaching and mentoring in higher education and – more specifically – why coaching and mentoring can be a worthwhile targeted intervention for students from underrepresented backgrounds. This lends support to the growing consensus that students with positive, proactive help-seeking behaviours perform better than students not able to access support (Byrne et al., 2014). We conclude the case study with some practical implications for providers looking to provide targeted support to students.

Guided by resource-based theory, this study unpacks the relationship between an export entrepreneurial marketing orientation (EMO) and export performance. This is undertaken by investigating quadratic effects and the moderating role of export coopetition (cooperation amongst competitors in an international arena).

Survey responses were collected from a sample of 282 smaller-sized wine producers in Italy. This empirical context was ideal, as it hosted varying degrees of the constructs within the conceptual model. Put another way, it was suitable to test the underlying issues for theorising purposes. The hypotheses and control paths were tested through a three-step hierarchical regression analysis.

An export EMO had a non-linear (inverted U-shaped) association with export performance. Furthermore, this link was positively moderated by export coopetition. With too little of an export EMO, small enterprises might struggle to create value for their overseas customers. With too much of an export EMO, owner-managers could experience harmful performance outcomes. By cooperating with appropriate industry rivals, small companies can acquire new resources, capabilities and opportunities to help them to boost their export performance. That is, export coopetition can stabilise some of the potential dangers of employing an export EMO.

The empirical findings signified that an export EMO has potential dark-sides if these firm-wide behaviours are not implemented effectively. Nevertheless, cooperating with competitors in export markets can alleviate some of these concerns. Collectively, unique insights have emerged, whereby entrepreneurs are advantaged by being strategically flexible and collaborating with appropriate key stakeholders to enhance their export performance.

In this paper, the authors investigate the impact of the confirmation bias on returns, expectations and hedging of optimistic and pessimistic traders in the cryptocurrencies, commodities and stock markets before and during COVID-19 periods.

The authors investigate the impact of the confirmation bias on the estimated returns and the expectations of optimistic and pessimistic traders by employing the financial stochastic model with confirmation bias. Indeed, the authors compute the optimal portfolio weights, the optimal hedge ratios and the hedging effectiveness.

The authors find that without confirmation bias, during the two sub periods, the expectations of optimistic and pessimistic trader’s seem to convergence toward zero. However, when confirmation bias is particularly strong, the average distance between these two expectations are farer. The authors further show that, with and without confirmation bias, the optimal weights (the optimal hedge ratios) are found to be lower (higher) for all pairs of financial market during the COVID-19 period as compared to the pre-COVID-19 period. The authors also document that the stronger the confirmation bias is, the lower the optimal weight and the higher the optimal hedge ratio. Moreover, results reveal that the values of the optimal hedge ratio for optimistic and pessimistic traders affected or not by the confirmation bias are higher during the COVID-19 period compared to the estimates for the pre-COVID period and inversely for the optimal hedge ratios and the hedging effectiveness index. Indeed, either for optimists or pessimists, the presence of confirmation bias leads to higher optimal hedge ratio, higher optimal weights and higher hedging effectiveness index.

The findings of the study provided additional evidence for investors, portfolio managers and financial analysts to exploit confirmation bias to make an optimal portfolio allocation especially during COVID-19 and non-COVID-19 periods. Moreover, the findings of this study might be useful for investors as they help them to make successful investment decision in potential hedging strategies.

First, this is the first scientific work that conducts a stochastic analysis about the impact of emotional biases on the estimated returns and the expectations of optimists and pessimists in cryptocurrency and commodity markets. Second, the originality of this study stems from the fact that the authors make a comparative analysis of hedging behavior across different markets and different periods with and without the impact of confirmation bias. Third, this paper pays attention to the impact of confirmation bias on the expectations and hedging behavior in cryptocurrencies and commodities markets in extremely stressful periods such as the recent COVID-19 pandemic.

Demanding and highly competitive business environment has stimulated small and medium enterprises (SMEs) to restructure their manufacturing practices. Lean manufacturing (LM), a comprehensive alternative, is now being adopted, notably by manufacturing organizations, to increase business effectiveness and performance through a variety of lean approaches. Lean implementation, however, ran into a number of difficulties, which showed that non-technical factors such as human-related practices must also be integrated if lean is to be successful. This study aims to examine a thorough overview of the various human-related lean practices (HRLP) mentioned in recent literature and to determine which of them is more pertinent to a successful LM implementation in SMEs.

A total of 193 publications published in 45 journals between 2013 and 2023 and based on the 4 reputable publishers, namely, Science Direct, Emerald Online, Taylor and Francis and Springer Link, were gathered based on a systematic literature review of peer-reviewed journal articles in LM.

The amount of research on human resource management and lean management that has been conducted has increased dramatically during the past few years. The outcome of this study will offer a thorough analysis of soft lean practices found in the LM literature that manufacturing SMEs should take into account while implementing lean.

The scope of this research is restricted to a survey of scholarly works using the terms “Lean manufacturing” or “Lean production” as well as “human” or “people” or “soft-lean practices” in the title. Furthermore, only works published in scholarly publications that have undergone peer review were included. Also, due to the authors’ linguistic restrictions, only English articles were used. The HRLP linked to a smooth lean transition are described in this research. Thus, it can be used to assist the production and human resource departments in raising an organization’s long-term performance.

The study gives researchers a better grasp of the direction the subject is taking and what gaps still exist, which aids them in focusing their research on HRLP in small- and medium-sized businesses.

This study examines the impact of social media investor sentiment on the stock market performance through qualitative and quantitative proxies.

The authors use a sample of daily stock performance related to S&P 500 Index for the period from December 18, 2017, to December 18, 2018. The social media investor sentiment was assessed through qualitative and quantitative proxies. For qualitative proxies, the study relies on three social media resources”: Twitter, Trump Twitter account and StockTwits. The authors proposed 3 methods to reflect investor sentiment. For quantitative proxies, the number of daily messages published from Trump Twitter account and StockTwits is considered as a signal of investor sentiment. For regression model, the study adopts the autoregressive distributed lagged to determine the relationships between the nonstationary series.

Empirical findings provide evidence that quantitative measures of investor sentiment have significant effects on S&P’500 performances. The authors find that Trump's tweets should be interpreted with caution. The results also show that the number of Trump's tweets on t−1 day have a positive effect on performance on day t.

Social media sentiment contains information for predicting stock returns and transaction activity. Since, the arrival of new information in capital markets triggers investor sentiment on social media.

This study investigates the investors’ sentiment through social media and explores quantitative and qualitative measures. The amount of information on social media reflects more the investor sentiment than content analysis measures.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2022-0818

Recent studies on construction supply chain management (CSCM) evaluated its vulnerability and challenging factors, but studies that have identified and examined the possible corrective measures of CSCM are rare. This study sets out to bridge this gap by identifying and evaluating the most effective CSCM corrective measures that will benefit the global construction industry.

A methodology was designed to obtain the corrective measures of CSCM. Data were collected from 68 experts who served as research participants in this study, through a questionnaire survey and were analyzed statistically using the severity index analysis, Mann–Whitney test and factor analysis which includes KMO and Barlett's test, commonalities, total variance pattern matrix.

The findings of the study revealed that free exchange of information between parties from both suppliers and site/firm is the best CSCM corrective measures, according to the research participant's opinion using the severity index analysis. Further analysis revealed seven underlying factors of CSCM corrective measures.

The findings of this study have identified the most critical solutions to the lapses of CSCM. These will serve as adequate corrective measures to the challenges of CSCM and benefit the global construction industry.

This study contributed seven underlying factors of CSCM corrective measures which can be adopted as adequate corrective measures to the lapses of CSCM. The study further contributed to CSCM research theory.

Administrative processes play a crucial role in various sectors, often contributing to cost overruns and delays. While lean concept has been extensively applied in many industries, there is a recognized need for further research on the integration of lean in administrative processes. To address this research gap, this study aims to systematically analyse the implementation of lean in administrative processes, providing a sector-wise comparison to explore its prospects for the construction industry.

A systematic literature review was conducted by adapting the Preferred Reporting Items for Systematic Reviews and Meta-Analyses method. Eighty-six research papers are subjected to descriptive and content analysis on different tools applied in lean integrated administrative processes in health care, education, public administration and other sectors.

The research study reveals common lean tools irrespective of sector. Moreover, specific tools used for a particular sector are analysed. Out of the various lean tools and techniques, value stream mapping, 5S and Kaizen are highly acknowledged tools in every sector of lean intervention. Furthermore, ECRS is applied explicitly in the education sector. Furthermore, it is noted that Suppliers, Inputs, Process, Outputs and Customers (SIPOC), 5whys, load levelling and control charts are identical to administrative processes in lean health care. Furthermore, Spaghetti charts and Kaikaku are only adapted to administrative processes in the public administration sector, and causal loop diagrams are used explicitly in administrative processes in the construction sector.

This study contributes to research by developing a guideline to design lean intervention for a lean-integrated administrative process in any sector which still needs to be transformed into lean. Hence, this study will be a cornerstone for incorporating lean principles for administrative processes in construction sector.

This study aims to develop the alleviating bullwhip effects framework (ABEF) replenishment rules, and bullwhip, inventory fluctuations and customer service fulfilment rates were examined. In addition, automated smoothing and replenishment rules can alleviate supply chain bullwhip effects. This study aims to understand the current artificial intelligence (AI) implementation practice in alleviating bullwhip effects in supply chain management. This study aimed to develop a system for writing reviews using a systematic approach.

The methodology for the present study consists of three parts: Part 1 deals with the systematic review process. In Part 2, the study applies social network analysis (SNA) to the fourth phase of the systematic review process. In Part 3, the author discusses developing research clusters to analyse the research state more granularly. Systematic literature reviews synthesize scientific evidence through repeatable, transparent and rigorous procedures. By using this approach, you can better interpret and understand the data. The author used two databases (EBSCO and World of Science) for unbiased analysis. In addition, systematic reviews follow preferred reporting items for systematic reviews and meta-analyses.

The study uses UCINET6 software to analyse the data. The study found that specific topics received high centrality (more attention) from scholars when it came to the study topic. Contrary to this, others experienced low centrality scores when using NETDRAW visualization graphs and dynamic capability clusters. Comprehensive analyses are used for the study’s comparison of clusters.

This study used a journal publication as the only source of information. Peer-reviewed journal papers were eliminated for their lack of rigorousness in evaluating the state of practice. This paper discusses the bullwhip effect of digital technology on supply chain management. Considering the increasing use of “AI” in their publications, other publications dealing with sensor integration could also have been excluded. To discuss the top five and bottom five topics, the author used magazines and tables.

The study explores the practical implications of smoothing the bullwhip effect through AI systems, collaboration, leadership and digital skills. Artificial intelligence is rapidly becoming a preferred tool in the supply chain, so management must understand the opportunities and challenges associated with its implementation. Furthermore, managers should consider how AI can influence supply chain collaboration concerning trust and forecasting to smooth the bullwhip effect.

Digital leadership and addressing the digital skills gap are also essential for the success of AI systems. According to the framework, it is necessary to balance AI performance and accountability. As a result of the framework and structured management approach, the author can examine the implications of AI along the supply chain.

The study uses a systematic literature review based on SNA to analyse how AI can alleviate the bullwhip effects of supply chain disruption and identify the focused and the most important AI topics related to the bullwhip phenomena. SNA uses qualitative and quantitative methodologies to identify research trends, strengths, gaps and future directions for research. Salient topics for reviewing papers were identified. Centrality metrics were used to analyse the contemporary topic’s importance, including degree, betweenness and eigenvector centrality. ABEF is presented in the study.

This study investigates the origins and elaboration of the managerial “unitary” frame of reference associated with Alan Fox, focusing on unionised firms: the industrial relations context, intellectual roots, elaboration, adaptation by other writers, and international applicability.

Tracing the above requirements through contemporaneous sources.

Fox’s designation of the unitary frame needs to be understood in its 1960s’ context, particularly the promotion of “productivity bargaining”, and its furthering through management training and education. Fox’s specific contribution is identified. Subsequent UK writers have underplayed the importance of the legal dimension of managerial authority, especially relevant in the US context, while other extra-economic factors bolster the managerial unitary frame in authoritarian societies such as China.

The use of Fox's neglected 1960s’ writings; tracking how Fox developed the unitary frame concept and how it was funnelled into the narrow parameters of non-unionism by subsequent writers; identifying its applicability beyond the UK (with the USA as a historical example and China as a contemporary one).