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Article
Publication date: 4 September 2020

Ambreen Sarwar, Muhammad Kashif Imran, Zafar-Uz-Zaman Anjum and Umer Zahid

In modern times, innovation is considered as a vital component of sustainable competitive advantage. The purpose of this paper is to identify how innovation at the individual…

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Abstract

Purpose

In modern times, innovation is considered as a vital component of sustainable competitive advantage. The purpose of this paper is to identify how innovation at the individual level [innovative work behavior (IWB)] and at the organizational level [innovative organizational climate (IOC)] affects the chances of success of a particular project. Additionally, the moderating effect of gender and work culture on the relation between innovative climate and behavior is tested in the study.

Design/methodology/approach

Survey technique was used to collect data from 425 employees working in project departments at the executive, middle level and senior level management in the paint manufacturing industry of Pakistan. Multiple regression, as well as Preacher and Hayes (2004) tests, were applied to test the hypotheses.

Findings

The result of the data analysis showed that IWB acts as a mediator between IOC and project success (PS), thereby supporting the hypothesized model of innovation and PS. Work culture was supported as a moderator; however, no moderating effect of gender was validated by the results.

Research limitations/implications

The management must make sure that to maximize the rate of success of projects, innovative work climate within the organizations and departments be given due importance. In addition to this, personnel’s individual innovation capabilities must also be enhanced by taking steps toward improvement through training and development.

Originality/value

Though attention has been given to research in innovation in light of other related variables, its relation to PS remains yet to be studied. The effect of gender and work culture on innovation in Pakistani paint industry was long over-due which has been addressed by this study.

Details

Innovation & Management Review, vol. 17 no. 4
Type: Research Article
ISSN: 2515-8961

Keywords

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Article
Publication date: 3 June 2024

Shuangyan Li, Muhammad Waleed Younas, Umer Sahil Maqsood and R. M. Ammar Zahid

The increasing awareness and adoption of technology, particularly artificial intelligence (AI), reshapes industries and daily life, fostering a proactive approach to risk…

313

Abstract

Purpose

The increasing awareness and adoption of technology, particularly artificial intelligence (AI), reshapes industries and daily life, fostering a proactive approach to risk management and leveraging advanced analytics, which may affect the stock price crash risk (SPCR). The main objective of the current study is to explore how AI adoption influences SPCR.

Design/methodology/approach

This study employs an Ordinary Least Squares (OLS) fixed-effect regression model to explore the impact of AI on SPCR in Chinese A-share listed companies from 2010 to 2020. Further, number of robustness analysis (2SLS, PSM and Sys-GMM) and channel analysis are used to validate the findings.

Findings

The primary findings emphasize that AI adoption significantly reduces SPCR likelihood. Further, channel analysis indicates that AI adoption enhances internal control quality, contributing to a reduction in firm SPCR. Additionally, the observed relationship is notably more pronounced in non-state-owned enterprises (non-SOEs) compared to state-owned enterprises (SOEs). Similarly, this distinction is heightened in nonforeign enterprises (non-FEs) as opposed to foreign enterprises (FEs). The study finding also supports the notion that financial analysts enhance transparency, reducing the SPCR. Moreover, the study results consistently align across different statistical methodologies, including 2SLS, PSM and Sys-GMM, employed to effectively address endogeneity concerns.

Research limitations/implications

Our study stands out for its distinctive focus on the financial implications of AI adoption, particularly how it influences firm-level SPCR, an area that has been overlooked in previous research. Through the lens of information asymmetry theory, agency theory, and the economic implications of integrating AI into financial markets, our study makes a substantial contribution in mitigating SPCR.

Originality/value

This study underscores the pivotal role of AI adoption in influencing stock markets for enterprises in China. Embracing digital strategies, fostering transparency and prioritizing talent development are key for reaping substantial benefits. The study recommends regulatory bodies and service providers to promote AI adoption in strengthening financial supervision and ensure market stability, emphasizing the importance of investing in technologies and advancing talent development.

Details

International Journal of Emerging Markets, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-8809

Keywords

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Article
Publication date: 8 February 2024

Shaohua Yang, Murtaza Hussain, R.M. Ammar Zahid and Umer Sahil Maqsood

In the rapidly evolving digital economy, businesses face formidable pressures to maintain their competitive standing, prompting a surge of interest in the intersection of…

316

Abstract

Purpose

In the rapidly evolving digital economy, businesses face formidable pressures to maintain their competitive standing, prompting a surge of interest in the intersection of artificial intelligence (AI) and digital transformation (DT). This study aims to assess the impact of AI technologies on corporate DT by scrutinizing 3,602 firm-year observations listed on the Shanghai and Shenzhen stock exchanges. The research delves into the extent to which investments in AI drive DT, while also investigating how this relationship varies based on firms' ownership structure.

Design/methodology/approach

To explore the influence of AI technologies on corporate DT, the research employs robust quantitative methodologies. Notably, the study employs multiple validation techniques, including two-stage least squares (2SLS), propensity score matching and an instrumental variable approach, to ensure the credibility of its primary findings.

Findings

The investigation provides clear evidence that AI technologies can accelerate the pace of corporate DT. Firms strategically investing in AI technologies experience faster DT enabled by the automation of operational processes and enhanced data-driven decision-making abilities conferred by AI. Our findings confirm that AI integration has a significant positive impact in propelling DT across the firms studied. Interestingly, the study uncovers a significant divergence in the impact of AI on DT, contingent upon firms' ownership structure. State-owned enterprises (SOEs) exhibit a lesser degree of DT following AI integration compared to privately owned non-SOEs.

Originality/value

This study contributes to the burgeoning literature at the nexus of AI and DT by offering empirical evidence of the nexus between AI technologies and corporate DT. The investigation’s examination of the nuanced relationship between AI implementation, ownership structure and DT outcomes provides novel insights into the implications of AI in the diverse business contexts. Moreover, the research underscores the policy significance of supporting SOEs in their DT endeavors to prevent their potential lag in the digital economy. Overall, this study accentuates the imperative for businesses to strategically embrace AI technologies as a means to bolster their competitive edge in the contemporary digital landscape.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 30 August 2024

Umer Sahil Maqsood, Shihao Wang and R.M. Ammar Zahid

In the context of an evolving digital-based global economy, this study aims to investige the impact of digital transformation (DT) on a firm’s internal control (IC) quality. It…

226

Abstract

Purpose

In the context of an evolving digital-based global economy, this study aims to investige the impact of digital transformation (DT) on a firm’s internal control (IC) quality. It also explores how the personal traits of (CEOs) – such as age, gender and educational background – intersect with DT to shape the IC quality in various types of state-owned enterprises (SOEs).

Design/methodology/approach

The study uses the data from China A-shares non-financial enterprises, listed on Shanghai and Shenzhen stock exchanges between 2007 and 2020. Using the fixed effect regression method alongside various statistical techniques, such as propensity score matching, alternative analysis and instrumental variables analysis, yields robust findings. These methods effectively address issues related to functional form misspecification and potential biases from omitted explanatory variables.

Findings

The findings reveal a positive impact of DT on firm IC quality, and this impact is more pronounced in firms when the CEO is female, young and possesses a higher level of education. Notably, the study also distinguishes between central and local state-owned enterprises (SOEs), highlighting that DT has a greater influence on IC quality in central SOEs, where CEOs often have higher political ranks and closer to government monitoring. Overall, the findings are robust and consist to alternative variable and other statistical methods.

Research limitations/implications

Following are the significant implications for both academia and business. First, firms that effectively adopt DT to enhance IC not only gain a strategic advantage over competitors but also establish efficient risk management practices and a robust IC system. Second, better IC resulting from DT can enhance investor and stakeholder confidence. This is particularly important for publicly traded companies, where investors and analysts closely scrutinize the robustness of IC systems. Third, DT could result in cost savings over time, as automation and streamlined processes may reduce the need for manual efforts and resource-intensive tasks associated with IC.

Originality/value

The findings are contributed to the literature in multiple ways. It enhances our comprehension of the intricate DT-IC quality relationship, and provides valuable insights into the transformative impact of DT on organizational operations and risk management. It also introduces a novel perspective by investigating how CEOs personal traits intersect with DT to shape IC quality, contributing to upper echelons theory. Furthermore, it expands the discussions on firm ownership by considering the types of SOEs (central vs. local), in the DT-IC quality context.

Details

Managerial Auditing Journal, vol. 39 no. 6
Type: Research Article
ISSN: 0268-6902

Keywords

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Article
Publication date: 10 November 2023

Sattar Khan and Yasir Kamal

This paper aims to investigate the impact of the revised Code of Corporate Governance 2017 (CCG-2017) clauses pertaining to board independence, mandatory inclusion of female…

436

Abstract

Purpose

This paper aims to investigate the impact of the revised Code of Corporate Governance 2017 (CCG-2017) clauses pertaining to board independence, mandatory inclusion of female directors, audit committee (AC) chair independence and directors’ expertise on earnings manipulation.

Design/methodology/approach

Using an unbalanced panel of 323 listed companies from 2015 to 2019, this study uses panel data regression models with a robust methodology called difference-in-differences to tackle the potential endogeneity.

Findings

This study’s findings show that, as compared to the pre-CCG-2017 period, board- and AC-related variables increased significantly in the post-CCG-2017 period. Furthermore, financial experts on the board and board independence have a negative effect on discretionary accruals (DAs), whereas female directors and DAs are positively related, as is real activity manipulation. The AC-related variables, such as AC independence, expertise in AC, and AC chair independence, are significantly different from the preperiod to the postperiod, whereas their relationship is not according to the hypotheses of the study. Moreover, these results are robust to additional analysis of the alternative proxies for female directorship and the endogeneity problem.

Practical implications

The findings of this study have implications for regulators and practitioners who are concerned with the functions of the board of directors (BOD). The findings of this research study show that earnings management (EM) may be reduced by independent and expert directors. However, board gender diversity is not reducing the EM. Therefore, the decision to appoint female directors to the board should be based on their business and professional attributes rather than simply filling quotas or blindly adhering to regulations. Moreover, the findings of this research may assist the regulator in encouraging listed firms to enhance board governance via independence, diversity and competency, which are useful for effective monitoring.

Originality/value

This study fills a gap in the literature by providing the first evidence of country-specific regulation (CCG-2017), concerning the BOD and AC-related clauses on EM in Pakistan, which is missing in the relevant literature general and in Pakistan in particular.

Details

Corporate Governance: The International Journal of Business in Society, vol. 24 no. 4
Type: Research Article
ISSN: 1472-0701

Keywords

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Article
Publication date: 1 September 2023

Mubasher Iqbal, Shajara Ul-Durar, Noman Arshed, Khuram Shahzad and Umer Ayub

Increased trapped heat in the atmosphere leads to global warming and economic activity is the primary culprit. This study proposes the nonlinear impact of economic activity on…

187

Abstract

Purpose

Increased trapped heat in the atmosphere leads to global warming and economic activity is the primary culprit. This study proposes the nonlinear impact of economic activity on cooling degree days to develop a climate Kuznets curve (CKC). Further, this study explores the moderating role of higher education and renewable energy in diminishing the climate-altering effects of economic activity.

Design/methodology/approach

All the selected BRICS economies range from 1992 to 2020. The CKC analysis uses a distribution and outlier robust panel quantile autoregressive distributed lagged model.

Findings

Results confirmed a U-shaped CKC, controlling for population density, renewable energy, tertiary education enrollment and innovation. The moderating role of renewable energy and education can be exploited to tackle the progressively expanding climate challenges. Hence, education and renewable energy intervention can help in reducing CKC-based global warming.

Research limitations/implications

This study highlighted the incorporation of climate change mitigating curriculum in education, so that the upcoming economic agents are well equipped to reduce global warming which must be addressed globally.

Originality/value

This study is instrumental in developing the climate change-based economic activity Kuznets curve and assessing the potential of higher education and renewable energy policy intervention.

Details

International Journal of Emerging Markets, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-8809

Keywords

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Article
Publication date: 6 August 2024

Suhanom Mohd Zaki, Saifudin Razali, Mohd Aidil Riduan Awang Kader, Mohd Zahid Laton, Maisarah Ishak and Norhapizah Mohd Burhan

Many studies have examined pre-diploma students' backgrounds and academic performance with results showing that some did not achieve the expected level of competence. This study…

127

Abstract

Purpose

Many studies have examined pre-diploma students' backgrounds and academic performance with results showing that some did not achieve the expected level of competence. This study aims to examine the relationship between students’ demographic characteristics and their academic achievement at the pre-diploma level using machine learning.

Design/methodology/approach

Secondary data analysis was used in this study, which involved collecting information about 1,052 pre-diploma students enrolled at Universiti Teknologi MARA (UiTM) Pahang Branch between 2017 and 2021. The research procedure was divided into two parts: data collecting and pre-processing, and building the machine learning algorithm, pre-training and testing.

Findings

Gender, family income, region and achievement in the national secondary school examination (Sijil Pelajaran Malaysia [SPM]) predict academic performance. Female students were 1.2 times more likely to succeed academically. Central region students performed better with a value of 1.26. M40-income students were more likely to excel with an odds ratio of 2.809. Students who excelled in SPM English and Mathematics had a better likelihood of succeeding in higher education.

Research limitations/implications

This research was limited to pre-diploma students from UiTM Pahang Branch. For better generalizability of the results, future research should include pre-diploma students from other UiTM branches that offer this programme.

Practical implications

This study is expected to offer insights for policymakers, particularly, the Ministry of Higher Education, in developing a comprehensive policy to improve the tertiary education system by focusing on the fourth Sustainable Development Goal.

Social implications

These pre-diploma students were found to originate mainly from low- or middle-income families; hence, the programme may help them acquire better jobs and improve their standard of living. Most students enrolling on the pre-diploma performed below excellent at the secondary school level and were therefore given the opportunity to continue studying at a higher level.

Originality/value

This predictive model contributes to guidelines on the minimum requirements for pre-diploma students to gain admission into higher education institutions by ensuring the efficient distribution of resources and equal access to higher education among all communities.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 2 July 2020

Muhammad Burhan, Stephen Swailes, Zahid Hameed and Imran Ali

Guided by institutional theory, this empirical paper examines variations in the adoption of HRM practices among SMEs in three different business sectors (services, manufacturing…

513

Abstract

Purpose

Guided by institutional theory, this empirical paper examines variations in the adoption of HRM practices among SMEs in three different business sectors (services, manufacturing and trade).

Design/methodology/approach

Data from 300 owners/managers representing three business sectors were collected through a survey method.

Findings

The results suggest that service SMEs use more formal HRM practices than manufacturing and trade SMEs. Manufacturing SMEs are more formal than trade firms. Results are not affected by firm age.

Research limitations/implications

Social desirability bias may have influenced respondents into portraying a positive image of the organization by inflating HRM sophistication. A further limitation is that the performance of the firms was not measured. As such, it is not possible to judge whether greater HRM formality correlated with improved organizational performance.

Practical implications

This study shows how the business sector shapes HRM practices in Pakistani SMEs. Findings help to inform Pakistan's Small and Medium Enterprise Development Authority (SMEDA) in dealings with manufacturing and trade firms in terms of improving HRM practices.

Originality/value

Given the important role of SMEs in economic development, comparative research on HRM in SME contexts is scarce. Since SMEs are vital for Pakistan's economy, an improved understanding of the sector's approach to human resource development is important. The findings extend the boundaries of prior comparative HRM literature in SMEs by addressing sector influences while controlling for contextual factors.

Details

Employee Relations: The International Journal, vol. 42 no. 6
Type: Research Article
ISSN: 0142-5455

Keywords

Available. Content available
Book part
Publication date: 6 November 2023

Abstract

Details

Higher Education in Emergencies: International Case Studies
Type: Book
ISBN: 978-1-83797-345-3

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Article
Publication date: 28 January 2020

Tooba Akram and Saadia Irfan

This case captures the experience of the newly hired investigation officer (IO) at the SECP, who crafts a front running case focused on the ethical transgressions by equity trader…

117

Abstract

Purpose

This case captures the experience of the newly hired investigation officer (IO) at the SECP, who crafts a front running case focused on the ethical transgressions by equity trader and KATS operator, at a famous brokerage house named Mir Ali Chaudhary Securities (MAC) Securities and three traders at DICE in Pakistan. The case outlines the whole series of investigation event that took place, from the IO identifying the smoke to all the pieces of puzzle together to form collectively evidence of front running. The case outlines and probes students to think at each stage of investigation as to how to answer the general claims that insider trading should be legalized. All these questions are viewed from the perspective of Pakistan’s regulatory environment.

Design/methodology/approach

The authors use a descriptive case study methodology approach.

Findings

The investigation trial held Sidney and Aslam guilty, sentencing them to imprisonment and making them pay fine to the Securities Exchange Commission of Pakistan (SECP) worth Rs 5m and Rs 1m, respectively. Likewise, the three equity traders at DICE were sentenced to imprisonment and charged a fine of Rs. 1m each.

Originality/value

On March 21, 2018, Mr Sidney, the equity trader, Mr Aslam, a KATS operator at MAC Securities and three equity traders at DICE Securities (Pvt.) Ltd were convicted under Securities Act (2015) and Court of law. Sidney and Aslam were alleged of tipping off advance confidential information of their clients’ order to the three equity traders at DICE, whereas the three traders at DICE were alleged of trading shares based on the tipped information in their trading account before the MAC clients’ orders were filled.

Details

Journal of Financial Crime, vol. 27 no. 2
Type: Research Article
ISSN: 1359-0790

Keywords

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