Dr. Mohammed Jamshed
@jamiahamdard.edu
Assistant Professor, Department of Management, School of Management and Business Studies
Jamia Hamdard
Dr. Mohammed Jamshed is a management graduate from the Institute of Chartered Financial Analysts of India, Dehradun, and the Indian Institute of Management, Calcutta. He has completed his doctorate from A.M.U., Aligarh. He is a member of the Government's AYUSH ethical committee. He had 9 years of corporate work experience with the leading financial services companies before joining academia.
EDUCATION
PhD in Management
RESEARCH INTERESTS
Marketing, Finance, Supply Chain Management, Consumer Behaviour, Business Ethics
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Maharshi Samanta, Naveen Virmani, Rajesh Kumar Singh, Syed Nadimul Haque, and Mohammed Jamshed
Emerald
PurposeManufacturing industries are facing dynamic challenges in today’s highly competitive world. In the recent past, integrating Industry 4.0 with the lean six sigma improvement methodologies has emerged as a popular approach for organizational excellence. The research aims to explore and analyze critical success factors of lean six sigma integrated Industry 4.0 (LSSI).Design/methodology/approachThis research study explores and analyzes the critical success factors (CSFs) of LSSI. A three-phase study framework is employed. At first, the CSFs are identified through an extensive literature review and validated through experts’ feedback. Then, in the second phase, the initial list of CSFs is finalized using the fuzzy DELPHI technique. In the third phase, the cause-effect relationship among CFSs is established using the fuzzy DEMATEL technique.FindingsA dyadic relationship among cause-and-effect category CSFs is established. Under the cause category, top management commitment toward integrating LSSI, systematic methodology for LSSI and organizational culture for adopting changes while adopting LSSI are found to be topmost CSFs. Also, under the effect category, organizational readiness toward LSSI and adaptability and agility are found to be the uppermost CSFs.Practical implicationsThe study offers a framework to understand the significant CSFs for LSSI implementation. Insights from the study will help industry managers and practitioners to implement LSSI and achieve organizational excellence.Originality/valueTo the best of the authors’ knowledge, CSFs of LSSI are not much explored in the past by researchers. Findings will be of great value for professionals in developing long-term operations strategies.
Ashok Mishra, Mohammed Jamshed, Asad Ahmad, Swati Garg, and Dag Øivind Madsen
Frontiers Media SA
IntroductionThis study empirically investigates the attitude of tobacco and alcohol consumers towards health insurance purchase in India. The study aims to determine the factors which plays a significant role in determining the purchase intention of health insurance among tobacco and alcohol consumers.MethodsWe propose an extended theory of planned behavior (TPB) model comprising factors like attitude, subjective norms, perceived behavior control, perceived usefulness, perceived product risk, and intention to purchase. We collected responses from 420 tobacco and alcohol consumers through a Google Form link shared via different social media platforms. SPSS has been used to perform exploratory factor analysis, whereas AMOS has been used to validate the constructs, confirm the relationships among the variables, and analyze the data.ResultsThe analysis outcomes demonstrate that subjective norms, perceived product risk, and perceived behavioral control are the factors that have a positive and significant effect on health insurance purchase intention among consumers.DiscussionThis research offers valuable insights to the insurance sector, government officials, policymakers, and academicians. Insurance companies may consider the criteria analysed when creating policies to promote the expansion of the health insurance sector.
Waseem Khan, Trilok Pratap Singh, and Mohammed Jamshed
Journal of Enterprising Communities Emerald
Purpose The purpose of this paper is to analyze the characteristics of agribusiness firms in India, China and Pakistan, as well as the challenges they face in doing business. Design/methodology/approach This study is based on the World Bank’s Enterprises Survey (WBES) data. The survey was carried out through a questionnaire survey from the owner and top managers of 716, 247 and 174 agribusiness from India, Pakistan and China, respectively. This enterprises survey has comprised the information regarding the wide range of firms’ characteristics and 16 parameters of business obstacles. Simple statistical tools such as chi-square and analysis of variance have been used to analyze the data. Findings Chi-square test shows the statistically significance difference in firms’ characteristics across agribusiness firms of India, China and Pakistan. Chinese firms are better in terms of having an international quality certification, own websites and getting credit. In Pakistan, access to land for agribusiness is an obstacle while for India and China, it is easy to acquire land for agribusiness purposes. In Pakistan, tax rate and political stability is a moderate obstacle while in India and China, it is a minor obstacle in agribusiness. Labor regulation does not perceive any considerable obstacle in doing business in India and Pakistan. Practical implications This study provides an understanding of differences in the agribusiness environment in emerging economies such as India, Pakistan and China based on WBES data. This study can be helpful for agribusiness managers and government policymakers for promoting agriculture-based entrepreneurship. Originality/value It is the first attempt to compare the profile of agribusiness firms in growing Asian economies such as India, Pakistan and China, as well as perceived business hurdles, using a comprehensive enterprises survey data of World Bank.
Sanjeet Singh, Mitra Amini, Mohammed Jamshed, Hari Prapan Sharma, and Waseem Khan
Emerald
Purpose The purpose of the study is to examine the obstacle in doing business and determinants of credit adoption by the textile enterprises in India. Design/methodology/approach The study is based on World Bank’s Enterprises Survey, there are 571 enterprises involved in textile business. The enterprises survey has response on wide range of business obstacles which are categorized under three broad categories, namely, access to resource, business regulations and market externalities. Chi-square test and analysis of variance (ANOVA) have been used to examine the significant difference among firm’s profile and perceived business obstacles across the firm size. Furthermore, binary logistic regression model has been applied to explore the determinants of credit adoption by textile enterprises. Findings A statistically significant difference has been found in size of firms and legal status nature of establishment, gender of top manager, main product market and credit adoption from financial institutions. Majority of small- and medium-sized enterprises (SMEs) are sole proprietorship firm while large enterprises are limited partnership firms. Similarly, large enterprises have relatively more female as a top manager and international market for their product. ANOVA reveals equal degree of obstacles in doing textile business across the firm size. The logistic regression coefficient and marginal effects reveal that firm size, main market,gender of owner, number of establishment in the firms positive and significantly affects the credit adoption by 3 textile enterprises. Practical implications The study has some policy implications for various stakeholders such as textile business managers and promoters, government, investors and bankers for entrepreneurship development in textile sector. The study suggests that the government should incentivize small- and medium-sized businesses to increase their exports. The results show that despite government efforts to finance SMEs, fewer SMEs are receiving both short- and long-term credit. To help SMEs in the textile industry overcome financial difficulties and expand their main product market to both domestic and international levels, a soft loan should be provided based on the characteristics of textile enterprises. Originality/value The present study suggests the evidence-based understanding of textile business environment. The value and uniqueness of this study is to explore an ease of business textile sector using comprehensive enterprises survey data of World Bank.
Suhail A. Khan, Shamim Ahmad, and Mohammed Jamshed
Wiley
Waseem Khan, Mohammed Jamshed, and Sana Fatima
Wiley
Waseem Khan, Mohammed Jamshed, Sana Fatima, and Aruna Dhamija
Informa UK Limited
Abstract This article investigates the determinants of diversified income sources in farm households in Uttar Pradesh, India. Data has been collected from 220 randomly selected respondents through structured questionnaires. This study analyzed the effect of farmers’ characteristics, farm characteristics, institutional factors, and perceived climate risk on income sources diversification adopted by farm households. A logistic regression model was developed and tested based on responses collected from survey data. The findings revealed that education, family size, land size, proper infrastructure for livestock, adequate production technology, information sources, access to market, and climatic risk are significant variables affecting diversification. The implication of the study suggests that farm household needs to adopt a concentric strategy which requires policy intervention on focused research, knowledge dissemination, infrastructural development, and agricultural technical institutions setups to improve livelihood.
Suhail Ahmad Khan,
Agricultural Economics and Social Science Research Association (AESSRA)
Indian food processing sector has shown promising growth with wider scope to accelerate agricultural economy of the country. It has given level playing to the multinational corporate to excel direct retailing of the food products. This study has tried to explore the factors affecting the quality delivery in the food processing industry. The conceptual framework has been developed on the basis of existing literature and finds nine responsible factors to deliver quality in the food processing industry. Statistical tests are used to examine the quest, based on the inputs from 50 food processing entrepreneurs. A survey based on structured questionnaire was conducted in three districts of Uttar Pradesh. The finding reveals that availability of educated and trained workers are the most challenging task for food processing players. The study further explores the potential and prospect of Skill India initiative in resolving the scarcity of qualified manpower. It is found that PMKVY (Pradhan Mantri Kaushal Vikas Yojana) is giving the meaningful result by adding expertise to employed and unemployed individuals. This initiative is producing competent workforce in almost every zone in India. It is needed to include industrial participation for delivering training so that the needs of both parties were fulfilled. JEL Classification: L66, J24, P23, L15, P47
Tameem Ahmad, Shamim Ahmad, Mohammed Jamshed, Faizan Khan Sherwani, Rashid Ali, Waseem Khan, Abuzar Nomani, and Tajdar Mohammad Qaisar
IEEE
‘Innovation’ is stimulated on a global scale as a response to environmentalism leading to intellectual development. India contributes significantly to the world progress by providing the largest diaspora with proven excellence. Makerspace marks a visible impression around the world in producing innovative brains in almost every field of study. This paper explains three perspectives in the new pedagogical and physical transformation of teaching and learning i.e. the theme of Makerspace or Hackerspace. Firstly, we find the makerspace presence in India and analyze factors which drive the makerspace knowledge management. Secondly, we use the ISM and MICMAC analysis to examine the drivers and dependence of the enablers. Thirdly, we discuss the potential areas where the makerspace can give favorable results.
Tameem Ahmad, Shamim Ahmad, and Mohammed Jamshed
IEEE
The knowledge and experiments' sharing can inculcate a healthy competitive environment in agriculture sector across the country. In this age of high usage of mobile devices by rural India the problem of absence of requisite extension services to farming community can easily be dealt by launching a two-way interactive value creating service through mobile devices. Agriculturists is India, by and large, are dispersed, unorganized, illiterate, deficient in resources and run a high risk of natural calamities, market uncertainties and price crashes. Pooling the traditional and scientific wealth of knowledge from across agricultural domains into a cloud based ERP (Enterprise Resource Planning) will develope an e-agriculture Resource Planning platform for the empowerment of agricultural fraternity. The paper emphasizes the need of an externally hosted cloud computing platform to manage full utilization and application of appropriate knowledge and technology by the users across the country. The availability of ERP-cloud based integrated e-agricultural setup for accessing all types of desired information will benefit them with customised solutions across geographical locations. The study proposes an application for Usage and Execution Behaviour `UnEB' to facilitate the end users taking suitable steps timely to maximize their returns from agricultural and allied activities. The proposed application may be integrated with ERP-cloud to recommend quality decisions based on GIS (geographic information system), remote sensing using smartphones and feedback mechanism. The intended system may lead to improving the farming practices, overcoming the crises and developing an upgraded agricultural system for the country.