Quba Ahmed, Muhammad Saleem Sumbal, Muhammad Naseer Akhtar and Hussain Tariq
Drawing upon the theoretical underpinning of knowledge worker productivity, this study aims to examine the relationship between abusive supervision and knowledge management (KM…
Abstract
Purpose
Drawing upon the theoretical underpinning of knowledge worker productivity, this study aims to examine the relationship between abusive supervision and knowledge management (KM) process (creation, application and sharing of knowledge) and its impact on the knowledge worker productivity in knowledge-intensive organizations.
Design/methodology/approach
Hypothesis were tested through PROCESS Macro in IBM SPSS v.26 on a sample of 204 employees working in banking sector of Pakistan. Confirmatory factor analysis was conducted to test the model fitness through AMOS v. 26.
Findings
The results showed that the relationship between abusive supervision and KM process (creation, application and sharing of knowledge) is negative and highly significant, i.e. greater the abusive supervision in the banking sector, the lower is the engagement in KM processes. Furthermore, there is a positive and highly significant relationship between the KM process and knowledge worker productivity. Finally, the study indicates the negative impact of abusive supervision on the knowledge worker productivity through the mediating mechanism of knowledge management processes.
Research limitations/implications
A key limitation is that the study is cross-sectional, and the findings may only be generalizable to developing countries context.
Originality/value
Previous studies have focused on supervisor–employee relationship but not in the context of knowledge worker productivity. This article fulfills this gap through understanding the impact of abusive supervision on the knowledge worker productivity in relation to KM processes (knowledge creation, sharing and application) by drawing upon the theoretical underpinning of knowledge worker productivity.
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Muhammad Saleem Sumbal, Eric Tsui, Irfan Irfan, Muhammad Shujahat, Elaine Mosconi and Murad Ali
The purpose of this study is twofold: to investigate the role of big data in firms’ co-knowledge and value creation and to understand the underlying drivers behind value creation…
Abstract
Purpose
The purpose of this study is twofold: to investigate the role of big data in firms’ co-knowledge and value creation and to understand the underlying drivers behind value creation through big data in the oil and gas industry by underscoring the role of firms’ capabilities, trends and challenges.
Design/methodology/approach
Following an inductive approach, semi-structured interviews were conducted with senior managers and analysts working in oil and gas companies across eight countries. The data collected from these key informants were then analysed using the qualitative data analysis software ATLAS.ti.
Findings
Value creation through big data is an important factor for enhancing performance. It has a positive impact on both tangible (organisational performance) and intangible (societal) aspects depending on the context. Oil and gas companies understand the importance of big data to creating value in their operations. However, implementing and using big data has been problematic. In this study, a framework was developed to show that factors such as the shortage of data experts, poor data quality, the risk of cyber-attacks and unsupportive organisational cultures impede its implementation and utilisation.
Research limitations/implications
The findings from this study have implications for managers and executives implementing big data and creating value across various data-intensive industries. The research findings, are contextual, however, and should be applied cautiously.
Originality/value
This study contributes to the value creation literature in the big data context. The findings identify the key areas to be considered for the effective implementation and utilisation of big data in the oil and gas sector. This study addresses a broad but under-explored issue (i.e. knowledge creation from big data and its implementation) and strengthens the academic debate within this research stream.
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Muhammad Ameer Usman, Rehan Muhammad, Taimoor Shabbir, Mohsin Islam Tiwana, Amir Hamza and Muhammad Mubasher Saleem
This paper aims to introduce a sensorized surgical grasper with a novel flexible capacitive tactile force sensor integrated within the surgical grasper for minimally invasive…
Abstract
Purpose
This paper aims to introduce a sensorized surgical grasper with a novel flexible capacitive tactile force sensor integrated within the surgical grasper for minimally invasive surgery (MIS) and robot-assisted MIS (RMIS) procedures.
Design/methodology/approach
The proposed sensor offers a unique configuration of sensing electrodes with one top excitation electrode and three bottom electrodes enabling the measurement of normal and shear forces without incorporating any complex decoupling algorithms. The design of the sensor is optimized using finite-element method simulations, ensuring efficiency and reliability.
Findings
Experimental validation, real-time sensor response and application in lump detection through stiffness assessment demonstrate the decoupled force response (0–5 N normal range and 0–2 N shear range) with high sensitivity 0.0124/N, repeatability and hysteresis response with 5.65% and 4.7% errors respectively.
Originality/value
The compact design of the sensor makes it compliant with surgical graspers and therefore enhances the overall efficiency of robotic surgical procedures. The sensorized surgical grasper is fabricated using conventional machining and rapid prototyping techniques, presenting a cost-effective solution for adoption.
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Rachel Hay, Lynne Eagle, Muhammad Abid Saleem, Lisa Vandommele and Siqiwen Li
The purpose of this paper is to report student attitudes and beliefs towards climate change adaptation and sustainability-related behaviours.
Abstract
Purpose
The purpose of this paper is to report student attitudes and beliefs towards climate change adaptation and sustainability-related behaviours.
Design/methodology/approach
A paper-based questionnaire was completed by 247 first-year (students in their first semester of study) and third-year (students in their final semester of study) students in the same year (2012) of the study (Table I). A factor analysis shows that common themes previously identified failed to reflect the diverse range of influences on young people, including family, friends and news media.
Findings
Contrary to the literature, few significant differences were found in sustainability-related behaviours between first- and third-semester students, with an increase in scepticism regarding the reality of climate change among the latter.
Research limitations/implications
The study focused on Australian undergraduate university business students. As a single-institution case study, the results may not be generalised to all university students. As such the authors recommended that the study be completed in other universities from around the world. The study was undertaken over one year, but the participants may not have necessarily been the same students in third semester as they were in first semester. Therefore, it is recommended that the study be repeated in future years so that the same cohort can be measured over time, providing a more accurate account of the development of student knowledge and perceptions of sustainability during their time at university.
Practical implications
Achieving significant long-term changes in behaviours will be a substantial challenge for tertiary curricula. The findings of this study can inform instructors in higher education of student attitudes towards sustainability and climate change adaption and in turn inform changes to tertiary curriculum in sustainability and climate change adaption.
Originality/value
This paper reports on the second phase of a longitudinal research project examining the effects of an undergraduate business studies curriculum on student views of sustainability. The authors confirm that the research is original and that all of the data provided in the study are real and authentic. Neither the entire work nor any of its parts have been previously published.
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Muhammad Saleem Sumbal, Eric Tsui and Eric W.K. See-to
The purpose of this paper is to explore the relationship between big data and knowledge management (KM).
Abstract
Purpose
The purpose of this paper is to explore the relationship between big data and knowledge management (KM).
Design/methodology/approach
The study adopts a qualitative research methodology and a case study approach was followed by conducting nine semi-structured interviews with open-ended and probing questions.
Findings
Useful predictive knowledge can be generated through big data to help companies improve their KM capability and make effective decisions. Moreover, combination of tacit knowledge of relevant staff with explicit knowledge obtained from big data improvises the decision-making ability.
Research limitations/implications
The focus of the study was on oil and gas sector, and, thus, the research results may lack generalizability.
Originality/value
This paper fulfills an identified need of exploring the relationship between big data and KM which has not been discussed much in the literature.
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Jameel Ahmed, Ahamed Kameel Mydin Meera, Muhammad Yusuf Saleem and Patrick Collins
This paper aims to apply the doctrine of siyasah shariyyah to a policy proposal in the area of monetary economics, namely, the Grondona system of conditional currency…
Abstract
Purpose
This paper aims to apply the doctrine of siyasah shariyyah to a policy proposal in the area of monetary economics, namely, the Grondona system of conditional currency convertibility, which has been proposed as a practical means of resisting the economic instability caused by the present-day fiat money system.
Design/methodology/approach
The paper uses library research to review the literature relevant to the Grondona system, and examines the extent to which its operations conform to the principle of siyasah shariyyah, thereby encouraging Maslahah, i.e. the public interest.
Findings
It has been found that the Grondona system conforms to the philosophy of siyasah shariyyah because it promotes public welfare in a number of ways. First, it is based on the fundamental principle of Prophet Yusuf’s/Joseph (peace be upon him) economic planning, which is accumulating reserves of primary commodities during times of plenty and releasing those reserves of commodities during periods of scarcity. Second, it provides the necessary linkage between the monetary world and the real economy. Third, it could be implemented in parallel with the existing monetary system by using the national currency. Fourth, it would help the least developed countries of the world, which mainly depend on exports of primary commodities (mostly agricultural).
Research limitations/implications
Because of the chosen research approach, this research study is theoretical in nature. Therefore, researchers are encouraged to evaluate the system from economic perspective based on simulation for the purpose of possible implementation.
Practical implications
The paper includes important implications for the policymakers in the Organization of Islamic Cooperation countries for the possible implementation of Grondona system.
Originality/value
This paper fulfils an identified need to apply the philosophy of siyasah shariyyah to the area of monetary economics.
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Muhammad Ahmad Raza Tahir, Muhammad Mubasher Saleem, Syed Ali Raza Bukhari, Amir Hamza and Rana Iqtidar Shakoor
This paper aims to present an efficient design approach for the micro electromechanical systems (MEMS) accelerometers considering design parameters affecting the long-term…
Abstract
Purpose
This paper aims to present an efficient design approach for the micro electromechanical systems (MEMS) accelerometers considering design parameters affecting the long-term reliability of these inertial sensors in comparison to traditional iterative microfabrication and experimental characterization approach.
Design/methodology/approach
A dual-axis capacitive MEMS accelerometer design is presented considering the microfabrication process constraints of the foundry process. The performance of the MEMS accelerometer is analyzed through finite element method– based simulations considering main design parameters affecting the long-term reliability. The effect of microfabrication process induced residual stress, operating pressure variations in the range of 10 mTorr to atmospheric pressure, thermal variations in the operating temperature range of −40°C to 100°C and impulsive input acceleration at different input frequency values is presented in detail.
Findings
The effect of residual stress is negligible on performance of the MEMS accelerometer due to efficient design of mechanical suspension beams. The effect of operating temperature and pressure variations is negligible on energy loss factor. The thermal strain at high temperature causes the sensing plates to deform out of plane. The input dynamic acceleration range is 34 g at room temperature, which decreases with operating temperature variations. At low frequency input acceleration, the input acts as a quasi-static load, whereas at high frequency, it acts as a dynamic load for the MEMS accelerometer.
Originality/value
In comparison with the traditional MEMS accelerometer design approaches, the proposed design approach focuses on the analysis of critical design parameters that affect the long-term reliability of MEMS accelerometer.
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Muhammad Abid Saleem, Lynne Eagle and David Low
Climate change and global warming are acknowledged to be growing issues caused by emissions of greenhouse gases. Fuel-efficient or green cars offer a technological solution to…
Abstract
Purpose
Climate change and global warming are acknowledged to be growing issues caused by emissions of greenhouse gases. Fuel-efficient or green cars offer a technological solution to reduce CO2 emissions from car exhaust. This study aims to draw on value–belief–norm (VBN) theory to provide an explanation of eco-socially conscious consumer behavior (ESCCB) related to the choice and use of personal cars.
Design/methodology/approach
The data was collected from 1,372 customers of the automobile industry of Pakistan, randomly drawn from 8 metropolitan cities. Partial least squares structural equation modeling is used to verify the hypotheses of the study.
Findings
By using variance-based structural equation modeling, this study showed that the VBN theory is fully supported in the cultural context of Pakistan and behavioral context of ESCCB. More specifically, personal introjected norms of the customers proved to be strong predictors of ESCCB while personal integrated norms predicted eco-social purchase intentions well.
Originality/value
To the best of the authors’ knowledge, this is the only study of its kind that examines the VBN model in the context of a developing country, Pakistan, and for a category of behaviors rarely tested before, i.e. ESCCBs related to purchase and use of personal cars.
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Adeel Tariq, Muhammad Saleem Ullah Khan Sumbal, Marina Dabic, Muhammad Mustafa Raziq and Marko Torkkeli
As sustainable performance has a central role in the small and medium enterprises (SMEs) performance literature, this study aims to examine the influence of networking…
Abstract
Purpose
As sustainable performance has a central role in the small and medium enterprises (SMEs) performance literature, this study aims to examine the influence of networking capabilities in enhancing sustainable performance through knowledge workers’ productivity and digital innovation. It also examines the sequential mediating role of knowledge workers’ productivity and digital innovation on networking capabilities and SMEs’ sustainable performance relationship.
Design/methodology/approach
Data were collected from 308 knowledge workers in the information technology sector and analyzed using the Hayes Process Macro bootstrapping method to test the proposed hypotheses.
Findings
Results indicate that knowledge workers’ productivity and digital innovation individually and sequentially mediate the relationship between networking capabilities and SME’s sustainable (economic and environmental) performance, surprisingly, they do not act as a mediator between networking capability and SME’s social performance. SMEs should prioritize investments in the professional development of their knowledge workers through training and skill enhancement programs. This investment equips knowledge workers with the tools to effectively use the knowledge and resources acquired through networking. Thus, knowledge workers may improve performance by using these resources to tackle challenges.
Research limitations/implications
Although this research focused on this specific context, it is prudent to acknowledge that additional factors may also exert influence on sustainable performance within SMEs, factors that managers may consider when making decisions. Methodologically, the cross-sectional design of this research poses a potential limitation, as it does not allow for the complete elimination of endogeneity concerns. However, it is worth noting that scholars have endorsed the use of cross-sectional data in cases where management researchers aim to expand beyond well-documented and longitudinal data sets.
Practical implications
This research offers practical recommendations for SMEs to improve their sustainable performance through networking. SMEs should seek partnerships with complementary knowledge to improve operations and for other performance-oriented benefits.
Originality/value
This study adds significantly to the literature on sustainable SME performance by studying the interdependent effects of networking capabilities. It also represents the individual and sequential mediation mechanism that links networking capabilities to SME success through knowledge worker productivity and digital innovation.
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Syed Tehseen Jawaid, Shujaat Abbas and Shaikh Muhammad Saleem
The purpose of the study is to investigate the relationship between international financial integration (IFI) index and democracy (DEM) in Pakistan by using long-time series data…
Abstract
Purpose
The purpose of the study is to investigate the relationship between international financial integration (IFI) index and democracy (DEM) in Pakistan by using long-time series data from 1975 to 2013.
Design/methodology/approach
The IFI index is constructed by principal component analysis. IFI consists of foreign direct investment (FDI), remittances (REM) and external debt (ED), whereas the Polity IV index is used for DEM. Johansen and the autoregressive distributed lag method for cointegration methods are used to find a long run relationship. Dynamic ordinary least square (DOLS), fully modified ordinary least square (FMOLS) and canonical regression (CR) have been used to find the nature of the relationship. Rolling window analysis has been done to find the year wise coefficients.
Findings
DOLS, FMOLS, canonical regression CR and cointegration results suggest a significant negative long-run relationship between IFI and DEM in Pakistan. Rolling windows analysis highlights that DEM has improved IFI in Pakistan from 2008 to 2013.
Originality/value
This study constructs an index for financial integration using principle component analysis on capital inflows, i.e. FDI, REM, ED, to explore the impact of DEM on IFI in Pakistan from 1975 to 2013. This study investigates for the first time ever the relationship between IFI index and DEM in Pakistan.