An Examination of Employee Rewards and Work Environment on Employee Creativity and Innovation

Purpose - The provision of rewards to employees for their innovative ideas and creative ideas acts as a motivational factor, encouraging them to sustain their efforts in developing novel and innovative solutions. The objective of this research is to examine the effects of employee rewards and work environment on employee creativity and innovation.Design/Methodology/Approach - This research used a quasi-experimental approach (specifically, an explanatory design). This inquiry relied on secondary sources. The collection of secondary material was conducted by using multiple online search platforms and specialist journals. Research Findings - Employees\u27 ability to be creative and innovative is bolstered by all three types of rewards: intrinsic rewards, which have a positive effect on intrinsic motivation, extrinsic non-financial rewards, and extrinsic financial rewards, which can either encourage or discourage employees\u27 efforts to be creative and innovative. Organizational environments that promote and cultivate employee creativity and receptiveness to novel ideas are more inclined to cultivate a culture that fosters creativity and then innovation. Originality - The significance of this research study adds value to the existing corps of information about understanding the effects of employee rewards with the aid of the work environment on employee creativity and innovation. Practical Implications - Drawing from the findings of this study it has been proven that in the corporate world employees are different with various types of needs. Hence to successfully motivate them to be creative and innovative organizations must provide employee rewards that are comprehensive and at the same time must balance the employee rewards they offer with the conducive work environment with employees\u27 individual needs

The Mediating Role of Hard Quality Management in the Relationship Between Soft Quality Management and Innovation Performance

Purpose - Hard and soft quality management are known as two important dimensions of total quality management (TQM) that can improve the performance of manufacturing and service organizations. The paper aims to examine the effect of soft quality management (soft QM) on innovation performance (IP) with the mediating role of hard quality management (hard QM). Design/Methodology - A questionnaire was designed for the model test and distributed among 130 small and medium-sized enterprises (SMEs) in Golpayegan industrial town located in Iran. PLS-SEM was used to analyze the data.Findings - The results showed that soft QM affects hard QM and IP. Also, the impact of hard QM on IP was confirmed. The mediating role of hard QM in the relationship between soft QM and IP was also confirmed.Practical Implications - The findings of this research encourage managers of SMEs to focus attention on hard and soft QM simultaneously to improve innovation performance in companies

A Qualitative Study on Talent Management in Enterprises within the Industry 4.0 Process

Purpose - This study aims to examine the effects of Industry 4.0 on talent management. It is observed that resources are allocated and training programs are organised for the transformation of the workforce in the Industry 4.0 process.Design/Methodology - Qualitative research approach was adopted in the study. Using purposive sampling method, 4 different industrial enterprises were analysed. Data collection process was carried out through face-to-face and online interviews.Findings - Organizations prioritize continuous training and fringe benefits in talent management, while employee involvement in social responsibility projects and teamwork enhances internal communication. In the Industry 4.0 era, maintaining organizational balance and providing diverse opportunities to talented employees are crucial.Practical Implications - The study suggests that implementing 28 different practices such as brand equity, collaboration, work-life balance and career opportunities to retain talent can increase awareness of the impact of Industry 4.0 on HR management. Establishing sector-based standards and models can help researchers in Turkey to implement Industry 4.0 and talent management practices

Revolutionizing the Digital Creative Industries: The Role of Artificial Intelligence in Integration, Development, and Innovation

Purpose - Artificial intelligence is profoundly transforming the digital creative industry, becoming a key force in industrial upgrading through technology integration, innovation drive and productivity improvement. Methods- This study uses a variety of methods, including literature review, questionnaire survey, in-depth interview and data analysis, to systematically examine the application effect of AI in the digital creative industry. The structural equation model is used to verify the hypothesized relationship, and the role of AI in promoting industrial integration, development results and innovation catalysis effect are comprehensively analyzed. Research results- The research that AI importantly promotes technological integration, development and innovation inside the digital creative industry, and improves the general overall performance of the industry. The path coefficient is incredibly substantial, and the model fit is good, which verifies the effective position of AI in industrial integration and development. The position of AI not only improves the competitiveness of the industry, but also provides robust support for the personalization and excessive quality of creative products. Originality- This paper demonstrates remarkable originality in theoretical framework construction, empirical data analysis, and exploration of practical challenges and this paper deeply analyzes the multiple mechanisms of AI in the digital creative industry, providing new ideas and specific quantitative evidence for research in related fields. Implications - Practitioners need to actively accept AI era, optimize creative workflows, and enhance production efficiency and constantly enhance their digital talents and cross-area information integration capabilities. Policymakers should formulate focused support policies to promote the vast application and deep integration of AI technologies inside the creative industries

Employee Performance Model: Analysis of Training, Organizational Culture and Work Environment by Mediating Work Discipline

Purpose- This research provides a new strategy for stakeholders regarding factors influencing the improvement of employee performance through work discipline in the Indonesian Air Force.Design/Methodology- This is quantitative research. The research population consisted of all Indonesian Air Force employees. The sample size for this research was 400 employees. Data collection was survey with a questionnaire. This study utilized Smart PLS version 3.2.9 and data analysis employed PLS-SEM.Findings- The findings indicate that organizational culture, work environment and work discipline significantly impact employee performance. Additionally, training, organizational culture, and work environment have an effect on work discipline and work discipline acts as a mediator in the relationship between training, organizational culture and work environment with employee performance.Practical Implications- The practical implications can assist the Indonesian Air Force in enhancing employee performance and creating a better work environment. Through appropriate actions, the organization can achieve improved outcomes in pursuing its objectives.

Impact of Ownership Structure and Corporate Governance on Earning Management: Empirical Findings from Listed Firms on the Pakistan Stock Exchange

Purpose- This study investigates the interplay among Ownership Structure, Corporate Governance, and Earnings Management by employing ordinary least square (OLS) regression. To find the relationship among the three constructs based on data sourced from listed companies on the Pakistan Stock Exchange spanning 2016-2021 were used, excluding the financial industry due to its unique reporting system.Design/Methodology- The sample comprises 111 firms chosen based on data availability. To measure earnings management, the researchers used a modified version of John\u27s model (1995) to estimate discretionary accruals. Findings- The study\u27s key findings include the significant role of institutional investors in reducing earnings management. The number of board directors and ownership concentration were observed to impact discretionary accruals. Control variables indicated that more profitable, growing, and highly leveraged firms tend to engage in earnings management, which decreases with the firm\u27s age. The study revealed a diverse relationship between ownership structure, corporate governance codes, and earnings management. Notably, significant institutional investment reduces ownership concentration, leading to decreased earnings management. Moreover, the results show a positive and significant correlation between firm size and Return on Assets (ROA). Practical Implications- Board independence was found to have a positive impact on earnings management, suggesting that boards serve a more complex role than mere monitoring to mitigate accounting manipulation

The Impact Of Social Media On Microgreens Product Knowledge And Purchase Intention

Purpose- The purpose of this research is to find out the impact of social media Instagram on microgreens’ product knowledge and purchase intention by using several components of the AISAS model.Design/Methodology- Respondents in this study were 15 to 45 years old and were followers of Instagram accounts that disseminate knowledge and market microgreens’ products. This study uses a simple random sampling method. This study employs a variance-based structural equation modeling (SEM) analysis, that is partial least squares (PLS). The data from this research were analyzed using SmartPLS 3.0 software.Findings- The results revealed that social media significantly affected attention, Interest, and Search. Search has a significant and positive impact on increasing knowledge of microgreens products. Knowledge of microgreens products has a significant impact on purchase intentions of microgreens products. Originality- This research produces new findings regarding consumer behavior on microgreens and their influencing factors. Practical Implications- The results of this study can be used as a reference to find marketing methods and develop the most effective strategies to attract microgreens consumers

Organisational Commitment and Turnover Intentions: Does Self-Efficacy Matter?

Purpose- This paper examined the relationship between organisational commitment, self-efficacy, and turnover intentions among academic staff in universities in Uganda, a developing nation.Design/Methodology- This research was undertaken via a cross-sectional research design to test the hypotheses using quantitative data collected from 574 academic staff at selected universities in Uganda. Hayes’s PROCESS macro (Version 4.2) was used to carry out a moderation analysis. Findings- The results indicate that interaction between self-efficacy and organisational commitment enhanced turnover intention. Academic staff with high levels of commitment, are less likely to engage in turnover behaviour at high levels of self-efficacy. Practical Implications- Drawing on empirical evidence, university managers seeking to improve staff retention need to adopt strategies that boost self-efficacy in order to instantly support organisational commitment. Adoption of participative work culture, equity, training, teamwork, and inclusiveness is an important signal and source of social information that the university values its employees and their stay

Tobin-Q, Liquidity and Momentum risk-premia: A Demonstration of Weighted Least Squares Regression Approach

Purpose- The basic purpose of the study is to examine whether Tobin-q, liquidity and momentum risk-premium contributes the explanatory power in terms of explaining portfolio returns in PSX. Design/Methodology- The Weighted Least Square (WLS) regression technique is empirically used to examine the nexus between risk-factor and portfolio returns using PSX dataset. The models provide useful tools for making efficient strategies in the jurisdiction of investments and portfolio constructions. Findings- The study reveals that multidimensional liquidity exhibits weak significant results while Tobin-q and momentum risk-factors demonstrate statistically significant determinants for PSX. Furthermore, WLS regression produces robust coefficient results than OLS regression as except liquidity all the factors exhibit substantially improved results. Practical Implications- The study findings would be useful for stocks and portfolio managers constructing optimal and diversified portfolios while investing in PSX