Sustainability Performance Determinants With Investment Opportunity As Moderation

This study aims to determine the effect of public ownership and public ownership on sustainability performance with the Investment Opportunity Set (IOS) as a moderating variable. This type of research is quantitative associative using secondary data taken from the IDX website. The population in this study were manufacturing companies listed on the Indonesia Stock Exchange from 2015 to the end of 2019. The sample selection procedure in this study used the purposive sampling method; only 87 company data met the criteria. The results of this study Public Ownership have a significant effect on sustainability performance; there is an effect of public ownership on sustainability performance. The IOS can moderate the influence of Public Ownership on Sustainability performance.

Performance Determinants in Family Business

Family businesses (FBs) are central to economies: in Portugal the impact of these structures reaches 2/3 of the GDP, 1/2 of the labour force, and 4/5 of the firms in operation, most of them being SMEs. These organisations play a central role in terms of job creation, local development, knowledge transfer, and territorial cohesion. Innovative activities are key factors for competitive economies; yet innovation increases risk exposure and FBs are conservative and risk adverse, resisting change, relying on internal factors rather than opening to the external environment, consequently postponing innovation and thus pledging their future. Their embedded culture reduces innovative propensity; still, the existence loyalty trust and informal networks enhance individual or collective innovation processes. Using a dataset of 110 FBs innovation and internationalization along with other structural characteristics are connected to their economic performance, shedding light on the determinants FB economic efficiency. Given their importance, made-to-measure policy schemes should be designed.

Digital tools and smart technologies in marketing: a thematic evolution

PurposeThis paper aims to analyze the evolution of digital and smart technologies and their relationship with different themes within marketing journals. In addition, this study has included the evolution of digital and smart technologies in relevant International Marketing (IM)/International Business (IB) journals to describe the impact of technology on this specific area to draw some interesting conclusions.Design/methodology/approachA bibliometric approach is applied in this research using science mapping analysis to visualize and reveal the evolution of smart and digital technologies in this specific academic area.FindingsBy combining science maps with performance indicators, the results of this study suggest that new technologies are related to eight main topics within marketing journals: implementation-completion, perceptions, behavior, market competition, adoption-diffusion model, social media, competitive advantage and disruptive technology. Additionally, this work provides new avenues for future research. When analyzing IM and IB journals, the findings highlight six thematic areas: perceptions-eWOM relationship, innovative foreign markets, performance determinants, Japan, industrial research and China.Originality/valueThis study contributes theoretically to developing and describing a framework for research in smart and digital technologies in the general marketing and international marketing/business fields. It adds a coherent perspective on the points of contact in marketing evolution, where smart technology has a meaningful role. This study outlines the changing questions surrounding the touchpoints as well as emerging research topics.

EMPLOYEE PERFORMANCE DETERMINANTS, WITH GENDER AS A GROUP

The purpose of this study is to analyze the influence of organizational commitment on employee performance; analyze the influence of organizational commitment on OCB; analyze the influence of OCB on employee performance; analyze the role of gender as the effect of moderation of organizational commitment on employee performance; analyze the role of gender as the effect of the moderating effect of organizational commitment on OCB, and analyze the role of gender as the effect of moderation on OCB on employee performance.. The population and sample were 45 respondents from the Notary Office in Bangli Regency with the saturated sampling method. The data collection technique was using a closed multiple-choice questionnaire and the partial least squares (PLS) data analysis approach was used. The results of the research show that the evaluation of the overall model seen from the coefficient of determination can already be said, Q-Square Predictive Relevance meets the requirements of existing and Goodness of Fit in a large position, the overall model is declared quite good. The conclusion of this study is that organizational commitment has a significant positive effect on employee performance has not been received. Organizational commitment has a significant positive effect on OCB received. OCB has a significant positive effect on employee performance is acceptable. Gender has not been tested as moderating of the effect of organizational commitment on employee performance, organizational commitment on OCB and OCB on employee performance.

Performance Determinants of Unsupervised Clustering Methods for Microbiome Data

Background: In microbiome data analysis, unsupervised clustering is often used to identify naturally occurring clusters, which can then be assessed for associations with characteristics of interest. In this work, we systematically compared beta diversity and clustering methods commonly used in microbiome analyses. We applied these to four published datasets where highly distinct microbiome profiles could be seen between sample groups, as well a clinical dataset with less clear separation between groups. Results: Although no single method outperformed the others consistently, we did identify key scenarios where certain methods can underperform. Specifically, the Bray Curtis (BC) metric resulted in poor clustering in a dataset where high-abundance OTUs were relatively rare. In contrast, the unweighted UniFrac (UU) metric clustered poorly on dataset with a high prevalence of low-abundance OTUs. To explore these hypotheses about BC and UU, we systematically modified properties of the poorly performing datasets and found that this approach resulted in improved BC and UU performance. Based on these observations, we rationally combined BC and UU to generate a novel metric. We tested its performance while varying the relative contributions of each metric and also compared it with another combined metric, the generalized UniFrac distance. The proposed metric showed high performance across all datasets. Conclusions Our systematic evaluation of clustering performance in these five datasets demonstrates that there is no existing clustering method that universally performs best across all datasets. We propose a combined metric of BC and UU that capitalizes on the complementary strengths of the two metrics.

Structural Relation of Export Assistance Programme and Export Performance Determinants: A Study of Handloom Industry

This study focuses on export assistance determinants and qualitative export performance determinants of the handloom industry. Additionally, the effect of export assistance needs to check on export performance determinants. The study found the determinants from the extensive literature review. A model is proposed based on identified determinants, and the hypotheses developed accordingly. Initially, first-order CFA is applied for validity measures and then second-order CFA due to presence of multicollinearity among the determinants. Second-order CFA analyses the combined effect of all studied determinants with the help of structural equation modelling. The four determinants of export assistance and five determinants of export performance are identified from the extensive literature. The financial support construct influences the export assistance majorly that is represented through high correlation coefficient and mixed response for other determinants. Overall, the combined effect of export assistance is positive on export performance determinants. There is a need to establish the functions of various export assistances based on their characteristics, and this study helps in operational classification of assistance based on identified determinants. Additionally, the impact of individual assistance can measure the changes in the export performance determinants of the handloom industry.

What factors can explain the performance of energy companies in Portugal? Panel data evidence

PurposeThis paper aims to analyze the determinants of Portuguese energy companies' performance.Design/methodology/approachTo achieve our objective, we have used data from 457 Portuguese energy companies, in the period between 2011 and 2018. Three dependent variables were tested using panel data, through the generalized method of moments (GMM) estimation method.FindingsThe results point out that the determinants of companies' performance change according to how different stakeholders appreciate corporate performance. In general, shareholders are concerned with maintaining their levels of profitability over time as well as with the company's market image. Managers are centered on maintaining solid margins on EBITDA through good management of cash flow, leverage and current assets. For the rest of the stakeholders, including global society, debt and investments in tangible fixed assets reduce profitability while investments in immaterial assets help to create value and performance for energy companies.Originality/valueAs far as the authors are aware, this is the first time that a study has been carried out in the Portuguese energy sector using the GMM-system model for three different stakeholders' views of corporate performance determinants.