Search results

The present paper aims to highlight how manufacturing expansions under conditions of increasing returns, which involve the growth of intermediate goods specializations, support advanced service employment. In addition, the increasing use of manufacturing products in services highlights additional, new service sector employment opportunities.

This paper investigates (1) the manufacturing and service interactions and (2) the investment behaviour in manufacturing using Auto-Regressive Distributed lags (ARDL) and Vector Autoregressive (VAR) models. The models allow for different specifications to study whether investment behaviour in manufacturing supports dynamic manufacturing and service interactions.

The results underpin how Kaldorian manufacturing as an engine of growth is still relevant in Indian growth and is key to achieving higher advanced employment, export-orientation and services and manufacturing nexus outcomes. What matters, though, is that manufacturing investments are to be guided mainly by intermediate goods specializations. The slowdown of these specializations, explaining the slowdown of manufacturing investment, is therefore, a concern.

A reinterpretation of manufacturing as an engine of growth in which primacy is given to investment behaviour in technical progress functions that can support the growth of specializations in manufacturing and such specialized service employment.

Market evaluation of products is the basis for product innovation, yet traditional expert-based evaluation methods are highly dependent on the specialization of experts. There exist a lot of weak expert-generated texts on the Internet of their own subjective evaluations of products. Analyzing these texts can indirectly extract the opinions of weak experts and transform them into decision-support information that assists product designers in understanding the market.

In social networks, a subset of users, termed “weak experts”, possess specialized knowledge and frequently share their product experiences online. This study introduces a comparative opinion mining framework that leverages the insights of “weak experts” to analyze user opinions.

An automotive product case study demonstrates that evaluations based on weak expert insights offer managerial insights with a 99.4% improvement in timeliness over traditional expert analyses. Furthermore, in the few-shot sentiment analysis module, with only 10% of the sample, the precision loss is just 1.59%. In addition, the quantitative module of specialization weighting balances low-specialization expert opinions and boosts the weight of high-specialization weak expert views. This new framework offers a valuable tool for companies in product innovation and market strategy development.

This study introduces a novel approach to opinion mining by focusing on the underutilized insights of weak experts. It combines few-shot sentiment analysis with specialization weighting and AHP, offering a comprehensive and efficient tool for product evaluation and market analysis.

This paper aims to examine the effect of executive compensation incentives, specifically CEO inside debt holdings, on the choice of industry specialist auditor.

High inside debt holdings are expected to constrain excessive managerial risk-taking and align the interests of managers and outside debtholders. The authors hypothesize that reduced debtholders’ expropriation concerns will decrease the demand for high audit quality, measured by industry specialization. The authors investigate a sample of US firms from 2006 to 2018 using OLS regression and use CEO relative leverage to proxy for CEO inside debt holdings. The authors conduct an additional two-stage least squares regression analysis to address potential endogeneity issues.

The paper finds that firms with higher levels of CEO inside debt tend not to appoint an auditor with industry specialization. This result is consistent with the notion that inside debt mitigates agency conflicts between managers and debtholders, reducing the demand for high-quality audits as a monitoring mechanism. The paper also finds that among firms which are excessively leveraged, those with higher levels of CEO inside debt tend to appoint an industry specialist auditor.

The findings contribute to the literature on agency cost and auditor choice by demonstrating that CEO inside debt has both substitutive and complementary effects on demand for industry specialist auditors.

Motivated by concerns and the ongoing debate regarding auditors’ independence and impartiality, this paper aims to examine the impact of the financial crisis on non-audit services (NAS) provision and audit quality (main and robust variables) in the four largest Eurozone countries together during the global financial crisis (GFC).

The authors used a time trend OLS model with a dummy variable as well as a baseline model with a dummy and control variables accounting for multicollinearity, considering the characteristics of the GFC.

It documented a positive (negative) relationship between NAS provision (audit quality) and crisis in four Eurozone countries, Germany, France, Italy and Spain, in the context of a baseline approach, supporting the hypotheses that there are higher non-audit fees and a lower audit quality. Moreover, it is revealed that NAS provision and audit quality behave similarly, using a time trend approach, during the GFC. Considering the role of the auditor specialization or not (Big4 vs non-Big4) in companies, a significant effect from crisis on non-audit fees and audit quality for the four countries under the baseline approach is found. In general, the findings persist for NAS provision and audit quality using the robust methods of the time trend and panel OLS approaches. Multicollinearity was not found to affect the findings of the regressions.

The study provides important implications for firm managers, auditors and regulatory authorities.

To the best of the author’s knowledge, it is the first time that the impact of the crisis on non-audit fees and audit quality is investigated during the GFC with two sets of OLS models (a time trend OLS with a dummy and a panel OLS with a dummy and control variables) in four largest Eurozone countries together.

This paper aims to examine the impact of intra-industry trade on business cycle synchronization within the Economic Community of West African States (ECOWAS). ECOWAS region is characterized by limited intracommunity trade and a low level of foreign direct investment.

First, this research uses the two-digit level harmonized system classification to measure intra-industry trade, which is straightforward to interpret and compute, making it suitable for countries with low trade intensity. Second, it uses the system generalized method of moments (system-GMM) to examine the dynamic relationship between variables and address endogeneity concerns.

The results obtained from the system-GMM estimation reveal a positive and significant correlation between intra-industry trade intensity and business cycle synchronization, as well as an inhibiting effect of economic freedom on the relationship between intra-industry trade and business cycle synchronization. These results highlight the need to implement policies aimed at reducing tariff barriers, improving financial integration and intensifying production.

This research analyze the link between intra-industry trade and business cycle synchronization within the ECOWAS. It also analyze the role of economic freedom on the link between intra-industry trade and business cycle synchronization.

The purpose of this paper is to explore the role of three different audit characteristics in loan pricing—the most significant credit term for borrowers. Three characteristics include audit reputation, audit tenure and audit specialization.

To examine audit characteristics simultaneously to measure their effect on loan pricing, this study uses a full-rank, three-way interaction model and conducts slope difference tests. It also includes the joint effects of these variables to estimate any incremental benefits of possessing multiple qualifications.

When studying the three qualifications together, none of them alone is strong enough to affect the loan interest. But, a Big 4 auditor with tenure can benefit the client by reducing the interest by about 1.98%. The more expertise the auditor has, the better value it brings to borrowers. A highly qualified auditor with additional expertise can significantly reduce loan pricing further by about 2.96 percent.

Examining the costs and benefits of hiring certified auditors is crucial for borrowers. While the variables are not exhaustive, an understanding of the added value of hiring high-quality auditors with more than one or two qualifications to their potential premium fees helps borrowers in managers' audit selection decisions. At the same time, the results shed some light on which of the auditor's qualifications lenders might prioritize when pricing a borrower's loan.

This paper aims to examine the impact of the auditor's characteristics on bank's earnings management (EM) through loan loss provisions (LLP) for African banks.

This study is based on 360 bank-year observations from 14 African countries for the period 2011–2016, discretionary LLP is used as proxy for EM. Panel regressions have been conducted.

The authors' findings reveal that auditor's industry specialization and tenure exert a negative and significant influence on the extent of LLP-based EM. The results also show that total fees paid to the banks' auditors are positively related to the extent of EM. In a further analysis, the authors find that industry specialist auditors are more effective in reducing the incoming-increasing. Similarly, the positive relationship previously found between EM and total fees still holds only for income-increasing. Moreover, auditor tenure negatively impacts both income-increasing and income-decreasing EM. As for auditor change, results reveal differential effect on EM.

The current research extends prior literature and provides an understanding of an important external monitoring mechanism, the external audit, within African banks. To the best of the authors' knowledge, there is a paucity of cross-country studies that has addressed the influence of auditors' attributes on banks' EM in Africa.

Research on the impact of the engagement of online medical teams (OMTs) on patient evaluation, for example, satisfaction, remains insufficient. This study attempts to recognize the underlying mechanism of how OMTs’ engagement influences patient satisfaction by adopting social support as the mediator. This study also scrutinizes the moderating effects of the transactive memory system (TMS) on the link between OMTs’ engagement and social support.

We utilized a linear model that had fixed effects controlled at the team level for analysis. A bootstrapping approach using 5,000 samples was employed to test the mediation effect.

Our results reveal that OMTs’ engagement improves informational and emotional support, thereby promoting patient satisfaction. Specialization and credibility strengthen the impact of OMTs’ engagement on informational and emotional support. Simultaneously, coordination has an insignificant influence on the link between OMTs’ engagement and social support.

This study contributes to the literature on OMTs, social support, and TMS, providing insights into patients’ perceptions of OMTs’ engagement during online team consultation. This study also generates several implications for the practice of online health communities and OMTs.

The number of passengers in the aviation sector following COVID-19 has recovered in 2023 and is 5% higher than it was in 2019. The average annual growth of air travel is predicted to be 3.2% between 2019 and 2039. This means the need for aircraft maintenance, repair and overhaul (MRO) services will also increase. Moreover, the stakeholders require lower costs, higher effectiveness/market share and sustainability. These expectations can be realized only with the identification, development and implementation of new innovations while improving and optimizing the already used processes and procedures. Since only highly qualified graduates can reach these requirements, the need for profession-specific MSc and PhD level engineers has elevated significantly. The purpose of this paper is to introduce the development and implementation of a new MRO higher educational framework program in strong cooperation with enterprises and universities.

The emphasis is placed on the program’s scouting, investigation, development, realization and evaluation by defining key performance indexes and aiming for the optimal solution for all participants.

The result of this study is the establishment of a new educational framework, the reinvention of the MSc curriculum and the integration of PhD-level researchers in the industry in a way that fulfills the needs and requirements of the MRO sector. In return, it will give various benefits to all parties involved.

The novelty of this work comes from creating a new educational MSc and PhD level framework that can push the MRO industry forward and fill the gap of missing engineers in this field. Plus, the newly developed program is highly flexible and can be used by other players in the economy after making some adaptions and modifications.

Prior research has extensively explored the dynamics of knowledge creation and transfer within entrepreneurial ecosystems (EEs). However, the research on knowledge integration within EEs, particularly by entrepreneurs, remains scant. Garnering and effectively using knowledge in such a dynamic and complex environment can provide entrepreneurs with a valuable asset for gaining a competitive advantage. To address this gap, this study aims to explore how entrepreneurs garner and capitalise on knowledge within the EE environment by using a transactive memory system lens.

This study is based on 26 semi-structured interviews with different actors and members of the same ecosystem – the northern Finnish health tech ecosystem. The data were analysed using the Gioia methodology.

This study results found that transactive memory processes (i.e. knowledge specialisation, credibility and coordination) and structures (i.e. differentiated-, shared- and meta-knowledge) influence knowledge organising in EEs.

This study provides a conceptual interplay between the EE and the transactive memory system’s processes and structures.