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Article
Publication date: 16 September 2021

Muhammad Ikram, Yichen Shen, Marcos Ferasso and Idiano D’Adamo

This study aims to explore the effects of the COVID-19 outbreak on exports of goods and services, logistics performance, environmental management system (ISO 14001…

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Abstract

Purpose

This study aims to explore the effects of the COVID-19 outbreak on exports of goods and services, logistics performance, environmental management system (ISO 14001) certification and quality management system (ISO 9001) certification in top affected Asian countries of India, Iran, Indonesia, Philippines, Bangladesh and Pakistan.

Design/methodology/approach

A novel grey relational analysis models’ approach is used to examine the inter-relationship between COVID-19 economic growth and environmental performance. Moreover, the authors applied a conservative (maximin) model to investigate which countries have the least intensifying affected among all of the top affected COVID-19 Asian countries based on the SS degree of grey relation values. The data used in this study was collected from multiple databases during 2020 for analysis.

Findings

Results indicate that the severity of COVID-19 shows a strong negative association and influence of COVID-19 on the exportation of goods and services, logistics performance, ISO 9001 and ISO 14001 certifications in all the six highly affected countries during a pandemic outbreak. Although the adverse effects of COVID-19 in exporting countries persisted until December 31, 2020, their magnitude decreased over time in Indonesia and Pakistan. During the COVID-19 outbreak, Pakistan showed comparatively better performance among the six top highly affected Asian countries due to its smart locked down strategy and prevents its economy from severe damages. While India and Iran export drastically go down due to a rapid increase in the number of COVID-19 cases and deaths.

Research limitations/implications

The research findings produce much-required policy suggestions for leaders, world agencies and governments to take corrective measures on an emergent basis to prevent the economies from more damages and improve their logistics, environmental and quality performance during the pandemic of COVID-19.

Originality/value

This study develops a framework and investigates the intensifying effects of COVID-19 effects on economic growth, logistics performance, environmental performance and quality production processes.

Details

Journal of Asia Business Studies, vol. 16 no. 3
Type: Research Article
ISSN: 1558-7894

Keywords

Article
Publication date: 14 June 2019

Abdul Haseeb Aamir Sheikh, Muhammad Ikram, Rana Mamoon Ahmad, Hamza Qadeer and Muhammad Nawaz

The quality of construction projects is mainly dependent on the process quality during the construction phase than product quality. The key factors that influence the…

Abstract

Purpose

The quality of construction projects is mainly dependent on the process quality during the construction phase than product quality. The key factors that influence the process quality of building projects in Pakistan during the construction phase of building life cycle are evaluated from literature. This paper aims to discuss these issues.

Design/methodology/approach

The factors were ranked using the traditional relative importance index (RII) and the second synthetic grey relational analysis method. The findings indicate that during the construction phase the selection of an appropriate contractor is the most important factor. The existence of feedback system and quality of shop drawings received from subcontractors are also very significant factors, according to the grey relational model.

Findings

Measures for the improvement of process quality in Pakistan are suggested. The results from both methods are not entirely comparable; however, if one considers uncertainty in data, then the second synthetic GRA-based ranking should be preferred over RII in decision making.

Originality/value

The study is pioneer in the evaluation of key factors influencing process quality during building construction projects in Pakistan using a set of traditional and novel methods. The results of this study are significant in improving the process quality during different phases of construction.

Details

Grey Systems: Theory and Application, vol. 9 no. 3
Type: Research Article
ISSN: 2043-9377

Keywords

Article
Publication date: 19 November 2019

Muhammad Ikram, Robert Sroufe, Muhammad Mohsin, Yasir Ahmed Solangi, Syed Zulfiqar Ali Shah and Farrukh Shahzad

This study aims to examine whether corporate social responsibility (CSR) activities influence firm performance based on a longitudinal survey for small and medium-sized…

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Abstract

Purpose

This study aims to examine whether corporate social responsibility (CSR) activities influence firm performance based on a longitudinal survey for small and medium-sized enterprises (SMEs) in Pakistan. Empirical studies suggest that the SME sector plays an essential role in the economic development of Pakistan and can be considered the backbone of the economy.

Design/methodology/approach

The data for this study were collected from SMEs located in the cities of Karachi, Lahore and Faisalabad in Pakistan. A well-designed questionnaire was administrated over 240 entrepreneurs to analyze and measure the impact of CSR on financial performance for a 12-month period. The authors used econometric analysis of the data using structural equation modeling.

Findings

Results reveal significant relationships between CSR and two determinants of firm performance, namely, employee commitment and corporate reputation.

Research limitations/implications

Findings of the study are important for policymakers, entrepreneurs and other professionals in SMEs sectors both in under-developed and, with further application and exploration, in developing countries.

Originality/value

There is no single longitudinal study prior to this has been carried out on the relationships of CSR and firm performance in the SME sector in the context of the Pakistani economy. Hence, this study significantly fills an important gap in the research.

Details

Journal of Global Responsibility, vol. 11 no. 1
Type: Research Article
ISSN: 2041-2568

Keywords

Article
Publication date: 4 June 2021

Dominik Zimon, Peter Madzík, Scott Dellana, Robert Sroufe, Muhammad Ikram and Kateryna Lysenko-Ryba

Comprehensive management systems such as ISO 9001 or ISO 14001 are designed to help organizations improve processes, ensure customer satisfaction, efficient information…

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Abstract

Purpose

Comprehensive management systems such as ISO 9001 or ISO 14001 are designed to help organizations improve processes, ensure customer satisfaction, efficient information flow, efficient use of resources and many other prosperous management areas. These systems can also bring unintended direct and indirect effects on organizations. In this study, the authors examine the environmental effects that the implementation of these management systems cause.

Design/methodology/approach

A survey-based methodology was used for this study, with textile organizations in three countries – Poland, Slovakia and the Czech Republic. The research focused on four areas related to environmental effects. The first area was the level of improvement of the organizations' environmental performance, which was examined by the methods of descriptive statistics. The second area was analyzing differences in environmental effects concerning the implementation of the systems using inferential statistics. The third area was the analysis of latent links between individual effects using factor analysis.

Findings

This study's insights shed some light on the benefits of implementing more, not fewer systems with benefits to organizations and entire industries with new possibilities for economic growth that do not have to come at the expense of the environment.

Originality/value

Organizations implementing management systems can realize dynamic benefits across a supply chain and within a manufacturing organization. Here the authors see an opportunity for ISO systems as a stepping stone to a more sustainable textile manufacturing economy.

Details

The TQM Journal, vol. 34 no. 3
Type: Research Article
ISSN: 1754-2731

Keywords

Article
Publication date: 13 May 2020

Amin Mahmoudi, Mehdi Abbasi, Xiaopeng Deng, Muhammad Ikram and Salman Yeganeh

Selecting a suitable contract to outsource construction projects is an ongoing concern for project managers and organizational directors. This study aims to propose a…

Abstract

Purpose

Selecting a suitable contract to outsource construction projects is an ongoing concern for project managers and organizational directors. This study aims to propose a comprehensive model to manage the risks of outsourced construction project contracts.

Design/methodology/approach

To employ the proposed model, firstly, the types of contracts and risks in the organization should be identified, then, to prioritize the contracts, the identified risks are considered as criteria. After receiving the experts' opinions, the best–worst method (BWM) integrated with grey relation analysis (GRA) method was used to prioritize the contracts. BWM and GRA are multi-criteria decision-making methods with different approaches and applications. In the current study, BWM has been employed to calculate the weights of criteria because it has better performance than other methods such as the analytic hierarchy process (AHP). After calculating the weights of criteria, the GRA method has been utilized for ranking the alternatives.

Findings

According to the results obtained from the case study, the cost plus award fee contract is the most suitable alternative for outsourcing construction projects. The proposed methodology can be practically applied through different types of the projects such as construction or “engineering, procurement and construction”.

Originality/value

To the best of our knowledge, this is the first time a conceptual model has been proposed to select an appropriate contract for construction projects. Also, for the first time, the BWM integrated with GRA method has been used to prioritize project contracts based on the potential risks. The proposed model can contribute to project managers for selecting a suitable contract with the least risk in construction projects.

Details

Grey Systems: Theory and Application, vol. 10 no. 2
Type: Research Article
ISSN: 2043-9377

Keywords

Article
Publication date: 21 July 2020

Saad Ahmed Javed, Muhammad Ikram, Liangyan Tao and Sifeng Liu

Tourism industry is a highly complex system surrounded by many uncertainties because of its innumerable connections with other supporting systems. Considering tourism, a…

Abstract

Purpose

Tourism industry is a highly complex system surrounded by many uncertainties because of its innumerable connections with other supporting systems. Considering tourism, a grey system, the current study proposes optimistic–pessimistic method (OPM). This technique can aid in improving forecast accuracy of four tourism-related indicators, inbound tourism to China, outbound tourism from China, revenues collected through inbound tourism and expenses incurred on outbound tourism.

Design/methodology/approach

The study integrates OPM into EGM and then using the secondary data collected from the World Bank database, predicts the four tourism-related indicators. The mean absolute percentage error steered the performance of the models.

Findings

One of the main contributions of the study lies in its overall evaluation of one of the major travel and tourism countries of the world in light of four crucial indicators. The study highlights, four tourism-related indicators' recent information, contains more valuable information about the future.

Originality/value

OPM represents a novel application of concept of whitenization of interval grey number in grey forecasting theory.

Details

Grey Systems: Theory and Application, vol. 11 no. 2
Type: Research Article
ISSN: 2043-9377

Keywords

Article
Publication date: 29 April 2021

Thais Coutinho Gonçalves Silva, Rosley Anholon, Izabela Simon Rampasso, Osvaldo Luiz Gonçalves Quelhas, Walter Leal Filho, Luis Antonio Santa-Eulalia and Francisco Rodrigues Lima Junior

This article aims to evaluate the integration level of a quality management system (QMS) and an environmental management system (EMS) in a tire manufacturer and propose a…

Abstract

Purpose

This article aims to evaluate the integration level of a quality management system (QMS) and an environmental management system (EMS) in a tire manufacturer and propose a guide to evaluate the integration of these systems in companies.

Design/methodology/approach

The methodological strategies used in this research were literature review; and case study, with interviews to verify professionals' perception about benefits from integration. Data from interviews were analyzed through Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS).

Findings

The results showed that the studied company has a simple level of integration, observing only some low intensity benefits. Thus, it was recommended that the company partially integrate its management systems (MSs) before evolving into something more complex. The literature and the findings of case study were used as basis for proposing a guide to evaluate MS integration.

Originality/value

Lessons learned throughout the study and the suggested guide can support other companies to assess the integration level of their QMS and EMS. Thus, the findings presented here can be useful for researchers and managers.

Article
Publication date: 2 July 2018

Amir Ikram, Qin Su, Muhammad Fiaz and Ramiz Ur Rehman

The purpose of this paper is to highlight the characteristic role of specialized markets and traders in the internationalization of emerging economies by examining the…

1136

Abstract

Purpose

The purpose of this paper is to highlight the characteristic role of specialized markets and traders in the internationalization of emerging economies by examining the linkages between supply chain management (SCM) and industrial clustering in China.

Design/methodology/approach

Multi-method approach was employed as primary data were collected from a case study of Shaoxing textile cluster, and was supplemented with secondary data to triangulate the findings. The proposition that competitive advantages of industrial clusters facilitate effective SCM was explored.

Findings

The authors reveal that China’s cost advantage is manifested in the entire value chain. The provision of business friendly amenities as a result of synergetic benefits of vertical and horizontal integration of supply clusters promotes competitiveness of SMEs and region as a whole. Moreover, specialized markets and international traders found to play significant role in sustainable cluster development.

Research limitations/implications

As with fieldwork and case studies, generalization should be drawn with care. Systematic synthesis of relevant case studies is recommended.

Practical implications

The study endorses the construction of local supply chains and suggests implementation of cluster strategy by focusing on environment-specific execution of triple helix model.

Originality/value

The article elaborates the linkages between cluster theory and SCM both within cluster and between interspersed clusters. It also explains how specialized markets and global players are enabling concentrated supply networks. The paper recommends extension of “Triple helix + 1 model” by making local community part of the underlying framework.

Details

Benchmarking: An International Journal, vol. 25 no. 5
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 11 March 2019

Zahid Hameed, Ikram Ullah Khan, Zaryab Sheikh, Tahir Islam, Muhammad Imran Rasheed and Rana Muhammad Naeem

Knowledge sharing (KS) has been consistently acknowledged as a critical factor in the organizational development and the betterment of employees. The purpose of this paper…

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Abstract

Purpose

Knowledge sharing (KS) has been consistently acknowledged as a critical factor in the organizational development and the betterment of employees. The purpose of this paper is to extend previous empirical research on KS by testing psychological ownership as an underlying mechanism between the relationship of organizational justice (OJ) and KS behavior in developing country context. The authors also examine the moderating role of perceived organizational support (POS) between psychological ownership and KS behavior.

Design/methodology/approach

Using a survey questionnaire, data from 348 employees of multinational corporations in Pakistan were used to test the research hypotheses.

Findings

The results of this research reveal that dimensions of OJ (procedural, distributive and interactional justice) positively influence psychological ownership. In addition, psychological ownership is found as an underlying psychological mechanism between the relationship of OJ and KS behavior. The results also indicate that a higher level of POS strengthens the relationship between psychological ownership and KS behavior.

Practical implications

Organizations can enhance employees’ sense of psychological ownership by providing them fairness in procedures and resources. Moreover, management can create a perception of equality among the employees which subsequently helps employees engage in sharing their valuable knowledge with their team members and other workers in the organization.

Originality/value

This research suggests that psychological ownership and POS are important factors which influence the relationship between OJ and KS behavior and it empirically tests this model in a developing country context.

Article
Publication date: 28 October 2021

Naurin Farooq Khan, Naveed Ikram, Hajra Murtaza and Muhammad Aslam Asadi

This study aims to investigate the cybersecurity awareness manifested as protective behavior to explain self-disclosure in social networking sites. The disclosure of…

Abstract

Purpose

This study aims to investigate the cybersecurity awareness manifested as protective behavior to explain self-disclosure in social networking sites. The disclosure of information about oneself is associated with benefits as well as privacy risks. The individuals self-disclose to gain social capital and display protective behaviors to evade privacy risks by careful cost-benefit calculation of disclosing information.

Design/methodology/approach

This study explores the role of cyber protection behavior in predicting self-disclosure along with demographics (age and gender) and digital divide (frequency of Internet access) variables by conducting a face-to-face survey. Data were collected from 284 participants. The model is validated by using multiple hierarchal regression along with the artificial intelligence approach.

Findings

The results revealed that cyber protection behavior significantly explains the variance in self-disclosure behavior. The complementary use of five machine learning (ML) algorithms further validated the model. The ML algorithms predicted self-disclosure with an area under the curve of 0.74 and an F1 measure of 0.70.

Practical implications

The findings suggest that costs associated with self-disclosure can be mitigated by educating the individuals to heighten their cybersecurity awareness through cybersecurity training programs.

Originality/value

This study uses a hybrid approach to assess the influence of cyber protection behavior on self-disclosure using expectant valence theory (EVT).

Details

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

Keywords

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