Quantifying SWOT analysis for cloud adoption using FAHP-DEMATEL approach: evidence from the manufacturing sector

2020 ◽  
Vol 33 (5) ◽  
pp. 1111-1152 ◽  
Author(s):  
Mahak Sharma ◽  
Rajat Sehrawat
Keyword(s):  
Technology Acceptance ◽  
Industrial Revolution ◽  
Swot Analysis ◽  
Manufacturing Sector ◽  
Critical Factors ◽  
Time To Market ◽  
Content Type ◽  
Organizational Issues ◽  
Factors Influencing ◽  
Indian Manufacturing Sector

PurposeThis study aims to identify the critical factors (barriers and drivers) influencing the adoption of cloud computing (ACC) in the manufacturing sector in India.Design/methodology/approachIn this study, a mixed methodology approach is used. Interviews are conducted to investigate factors (drivers and barriers) influencing the ACC, which are further categorized as controllable determinants (weaknesses and strengths) and uncontrollable determinants (threats and opportunities) using a SWOT analysis. Fuzzy analytic hierarchy process (FAHP) has been utilized to highlight the most critical drivers as well as barriers. Finally, decision-making trial and evaluation laboratory (DEMATEL) has been used to find the cause-effect relationships among factors and their influence on the decision of adoption.FindingsThe manufacturing sector is in the digital and value change transformation phase with Industry 4.0, that is, the next industrial revolution. The 24 critical factors influencing ACC are subdivided into strengths, weaknesses, opportunities and threats. The FAHP analysis ranked time to market, competitive advantage, business agility, data confidentiality and lack of government policy standards as the most critical factors. The cause-effect relationships highlight that time to market is the most significant causal factor, and resistance to technology is the least significant effect factor. The results of the study elucidate that the strengths of ACC are appreciably more than its weaknesses.Research limitations/implicationsThis study couples the technology acceptance model (TAM) with technology-organization-environment (TOE) framework and adds an economic perspective to examine the significant influences of ACC in the Indian manufacturing sector. Further, it contributes to the knowledge of ACC in general and provides valuable insights into interrelationships among factors influencing the decision and strategies of adoption in particular.Originality/valueThis is the first scholarly work in the Indian manufacturing sector that uses the analysis from SWOT and FAHP approach as a base for identifying cause-effect relationships between the critical factors influencing ACC. Further, based on the extant literature and analysis of this work, an adoption framework has been proposed that justifies that ACC is not just a technological challenge but is also an environmental, economic and organizational challenge that includes organizational issues, costs and need for adequate government policies.

Analysis of technological, individual and community factors influencing the use of popular Web 2.0 tools in LIS education

2017 ◽  
Vol 35 (5) ◽  
pp. 977-993 ◽  
Author(s):  
Chokri Barhoumi
Keyword(s):  
Standard Deviation ◽  
Web 2.0 ◽  
Technology Acceptance ◽  
Information Science ◽  
Instant Messaging ◽  
Research Approach ◽  
Web 2.0 Tools ◽  
Content Type ◽  
Community Factors ◽  
Factors Influencing

Purpose This research paper aims to explore the technological, individual and community factors influencing the use of popular Web 2.0 tools in library and information science (LIS) education to prepare LIS students for Library 2.0. The study was guided by the activity theory (AT) and technology acceptance model (TAM) of Davis as a lens. The study reveals a set of factors concerning the technical tools, subjective perceptions, goals of online discussion, social presence within a community, rules for participation and roles of the participants that affect their online engagement patterns. Design/methodology/approach This study was performed during the 2015 academic year; it used a descriptive analytical research approach for exploring and analysing technological, individual and community factors influencing the use of the popular Web 2.0 tools in LIS education. Findings The results show that at the technological level of the AT, educators in the sample found the WhatsApp instant messaging and Twitter to be the easiest tools to use, selecting those tools at, respectively, 73.2 per cent (standard deviation = 0.450) and 61.1 per cent (standard deviation = 0.490). WhatsApp and Twitter also lead at the individual level of the AT, as the most valuable platforms for sharing information and knowledge. Video, text and photo objects are the most commonly shared items, used by 90.7, 93.5 and 98.9 per cent, respectively. Originality/value This study may be useful to help information science educators to prepare graduates for the emerging Web 2.0 environments and to prepare students for Library 2.0.

What does the new 2011-12 IIP series tell about the Indian manufacturing sector?

2018 ◽  
Vol 11 (2) ◽  
pp. 90-106
Author(s):  
Radhika Pandey ◽  
Amey Sapre ◽  
Pramod Sinha
Keyword(s):  
Design Methodology ◽  
Manufacturing Sector ◽  
High Growth ◽  
Industrial Output ◽  
Content Type ◽  
Annual Survey ◽  
Two Measures ◽  
Indian Manufacturing Sector ◽  
Practical Implications

Purpose This paper aims to discuss the changes in the new 2011-12 base year series of the Index of Industrial Production (IIP) to determine whether the new series has improved the understanding of the growth in the manufacturing sector. Design/methodology/approach This paper develops a simple framework to separately estimate the contribution of value- and volume-based commodities in the growth of the manufacturing index. The authors present a case study by analysing the growth performance of IIP drugs and pharmaceuticals sector by comparing it with real net sales of a common sample of firms in this segment. Findings The authors find that growth in value-based commodities contributes significantly in moving the index in either direction, and that high growth in value-based commodities coincides with periods of low inflation. On comparability, using real net sales as an alternate indicator of industrial output for the pharmaceuticals sector, the authors find that IIP and real net sales show contrasting trends, thereby raising issues of reliability. The authors also find that the IIP shows a disconnect with growth rates from Annual Survey of Industries for several industries. Practical implications The divergence between two measures of industrial activity raises crucial questions on the representativeness of the IIP. Originality/value The study builds a framework to separately estimate the contribution of value- and volume-based commodities in the growth of the manufacturing index.

A review on the identification of total productive maintenance critical success factors for effective implementation in the manufacturing sector

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sudhir Chaurey ◽  
Shyamkumar D. Kalpande ◽  
R.C. Gupta ◽  
Lalit K. Toke
Keyword(s):  
Literature Review ◽  
Critical Success Factors ◽  
Success Factors ◽  
Manufacturing Sector ◽  
Successful Implementation ◽  
Critical Factors ◽  
Total Productive Maintenance ◽  
Content Type ◽  
Effective Implementation ◽  
Critical Success

PurposeThe purpose of this paper is to carry out the literature search on manufacturing organizations and total productive maintenance (TPM). This research aims at studying TPM attributes and barriers in line with the TPM framework for effective implementation of TPM. This study identifies the barriers in TPM implementation and the critical success factors (CSFs) for effective TPM implementation.Design/methodology/approachIn this manuscript, the study of TPM in the manufacturing sector has been considered a broad area of the research and emphasis on the TPM literature review, which primarily relates to the contribution of manufacturing sector and employment availability. Next sections covers TPM history, importance, justification, pillars, obstacles and TPM implementation procedure and models. Thereafter author identified the gaps in existing literature.FindingsThe existing literature shows that very few TPM implementation models are available for the manufacturing sector. The study also found that there is no systematically conducted large-scale empirical research which deals with TPM implementation. In order to bridge this gap, an investigation into the successful implementation of TPM in is truly needed. The finding of the literature shows that there is a need of TPM model specially developed for the manufacturing sector. The identified critical factors derived from the extensive literature review help to overcome the barriers for effective TPM implementation.Research limitations/implicationsThis review study is limited to Indian manufacturing industries. The identified TPM CSFs are based on the TPM pillars and their sub-factors. This cross-sectional study was based on the existing TPM model.Practical implicationsThis paper can increase the significance of TPM strategy, which could help managers of organizations to have a better understanding of the benefits of implementing TPM and therefore enable patient satisfaction within their organizations.Originality/valueThe literature review covers methodical identification of TPM barriers and critical factors for maintenance performance improvements. It allows the practitioners to apply these identified CSFs for TPM implementation to achieve an improvement in industrial performance and competitiveness.

Trends and relationship among intellectual capital disclosures, patent statistics and firm performance in Indian manufacturing sector

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Khushdeep Dharni ◽  
Saddam Jameel
Keyword(s):  
Firm Performance ◽  
Intellectual Capital ◽  
Manufacturing Sector ◽  
Secondary Data ◽  
Data Availability ◽  
Content Type ◽  
Patent Statistics ◽  
Patent Applications ◽  
Indian Manufacturing Sector ◽  
Increasing Trends

PurposeThis study highlights the trends of qualitative intellectual capital disclosures and patent statistics in the Indian manufacturing context by considering the numerous patent applications, patent grants, forward citations and backward citations. Furthermore, the study investigates the relation among qualitative disclosures, patent statistics and firm performance.Design/methodology/approachAll manufacturing companies of CNX 500 Index of National Stock Exchange of India Limited are considered. Based on data availability, 243 manufacturing firms spanning across seven major manufacturing sectors are included. Secondary data were obtained from the annual report of companies and patent databases from 2004 to 2005 to 2013–2014, generating a sample of 2,430 firm years. Content analysis and citation analysis are used for collecting the relevant data.FindingsOverall, the study results indicated increasing trends for all types of intellectual capital disclosures. Similar trends are observed for patent applications and patent grants, indicating a surge in patenting activities across the manufacturing sector. However, increasing trends in patenting activities are not reflected for forward and backward citations. In addition, significant differences in means and trend coefficients for qualitative disclosures and patent statistics indicated industry specificity within the Indian manufacturing sector. Furthermore, industry specificity is observed when translating intellectual capital to firm performance. The measure of firm performance, that is, Tobin's Q, is having a significant positive association with qualitative disclosures and patent statistics.Research limitations/implicationsAs the study is based on secondary data, its accuracy is limited by the accuracy of the data sources such as the annual reports of companies and patent databases.Practical implicationsThe study findings imply that policymakers should devise and execute sector-specific policy interventions. Moreover, managers and policymakers should emphasize the qualitative aspect of patenting activities.Originality/valueThe study is an original work that highlights the trends in qualitative disclosures in the Indian manufacturing context. The value relevance of intellectual capital and patent statistics has been established.

Indian study shows that encouraging knowledge sharing at work can help spark innovative behavior

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Keyword(s):  
Explicit Knowledge ◽  
Manufacturing Sector ◽  
Critical Role ◽  
Underlying Mechanism ◽  
Innovative Behavior ◽  
Content Type ◽  
Indian Manufacturing Sector ◽  
Implicit And Explicit ◽  
The Relationship

Purpose The authors wanted to find out the most important mechanisms for encouraging innovative behavior in the Indian manufacturing sector. Design/methodology/approach The researchers collected data from Indian manufacturing organizations. They distributed questionnaires and received 288 complete ones. Items measured critical concepts. For OJ one example was “I have been fairly rewarded for the effort I put forth”. For KS, one sample was, “When I have learned something new, I tell my colleagues about it” and, “When they have learned something new, my colleagues tell me about it”. Meanwhile, IB was measured using items such as “I generate original solutions for problems”. Findings It highlighted the pivotal role of OJ in bolstering employees’ IB. When companies treat employees fairly, it encourages positive social interactions that lead to perceptions of supportiveness and trustworthiness. Employees reciprocate these sentiments with positive behavior. The study also showed the positive predictive influence of KS on IB. Finally, the results showed that the relationship between OJ and IB is complex, but KS is a pivotal mediator. Promotion of OJ, KS and IM is “vital” to spark innovation. Originality/value The authors felt their most important finding was to highlight the critical role of the underlying mechanism of KS, which is where individuals exchange implicit and explicit knowledge to create new knowledge. In addition, previous researchers have looked at the role of organizational justice in encouraging innovative behavior, but evidence from non-Western countries is scarce.

A methodology for identifying critical factors influencing land value in urban areas: a case study of Kerala, India

2020 ◽  
Vol 38 (5) ◽  
pp. 665-681
Author(s):  
Binoy BV ◽  
Naseer MA ◽  
Anil Kumar PP
Keyword(s):  
Expert Opinion ◽  
Urban Areas ◽  
Environmental Planning ◽  
Delphi Survey ◽  
Land Value ◽  
Critical Factors ◽  
Content Type ◽  
Factors Influencing ◽  
Importance Index

PurposeLand value is a measure of the specific features of a property, excluding buildings and other developments. Land value varies depending on the economic, geographic and political aspects of a particular location. The primary purpose of the paper is to identify the general and location-specific attributes impacting property prices in urban Kerala.Design/methodology/approachThe objective of the current study was achieved through a three-cycle Delphi survey and relative importance index (RII) approach. The experts who aided in the survey had a mutual interest in the subject but came from different backgrounds like property valuation, real estate, urban and environmental planning. The initial group of variables identified from the literature was expanded and scrutinized in the first cycle of the Delphi survey. The variables were grouped into five major categories and 13 subcategories based on the literature and expert opinion. In the subsequent stages, the short-listed variables were rated on a seven-point Likert scale until a consensus was attained. The top-ranked variables were identified through the RII method as the critical factors influencing land value in urban Kerala.FindingsThe results indicate that road accessibility and proximity to nuisance sources are the most crucial parameters. The outcome of the study will provide a better understanding of the dynamics of land value and the influencing factors in urban areas.Originality/valuePrevious studies do not give much consideration for the location-specific variability on the influencing parameters. Property management research has not considered the usage of expert opinion and RII for variable selection.

Factors influencing hotel customers’ intention to use a fingerprint system

2014 ◽  
Vol 5 (2) ◽  
pp. 98-125 ◽  
Author(s):  
Jungsun (Sunny) Kim ◽  
Bo Bernhard
Keyword(s):  
Technology Acceptance ◽  
Data Security ◽  
New Technologies ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Content Type ◽  
Factors Influencing ◽  
Gender And Age ◽  
Hotel Customers

Purpose – This paper aims to extend the technology acceptance model (TAM) to explore the factors influencing a hotel customer’s intention to use a fingerprint system instead of a traditional keycard system and the moderating factors (i.e. gender and age) on the relationships between the proposed factors and the customer’s intention to use fingerprint technology. When hotels add new technologies, the potential vulnerability of their systems also increases. Underestimating such risks can possibly result in massive losses from identity theft and related fraud for hoteliers. Customers who are aware of these risks may become more open to innovative methods of identification or verification, such as biometrics. Design/methodology/approach – The online survey instrument was developed based on TAMs. The authors collected complete 526 responses from hotel customers and tested the hypotheses using structural equation modeling. Findings – This study found seven factors (i.e. perceived usefulness, perceived ease of use, subjective norm, perceived convenience, perceived data security, perceived property security and personal concerns) which significantly influence a hotel customer’s intention to use fingerprint technology. Gender and age played important moderating roles in the relationships between some of these factors and the intention to use. Practical implications – Recommendations are made as to how hotels can benefit from the implementation of biometrics, particularly fingerprint systems. For example, a hotel’s marketing campaign can be more effective by emphasizing the advantages of fingerprint technology related to “data security and convenience” for younger consumers (i.e. Gen X and Gen Y). Originality/value – Both educators and practitioners will benefit from the findings of this empirical study, as there are very few published studies on a customer’s fingerprint technology acceptance in the hotel context.

scholarly journals Pivoting Lean Manufacturing through Industry 4.0 in the Indian Context

2019 ◽  
Vol 8 (2) ◽  
pp. 1-7
Author(s):  
Protik Basu ◽  
Pranab K. Dan
Keyword(s):  
Lean Manufacturing ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Manufacturing Sector ◽  
Empirical Studies ◽  
Research Work ◽  
Production Model ◽  
Lean Management ◽  
Technological Developments ◽  
Indian Manufacturing Sector

Industry 4.0 and lean management both focus on increasing productivity of industrial systems. Industry 4.0 is foreseen to revolutionize today’s manufacturing environment whereas lean management is an integrated techno-operational system which has gained increasing importance in recent times to bring about a competitive state in an organization. Though in the last three decades there have been rigorous studies on lean manufacturing (LM), its implementation in the Indian manufacturing domain is still in its nascent stage. A lack of research to explore the potential use of Industry 4.0 is also noted. Research work on the compatibility of Industry 4.0 with LM is scarce and any study on the role of Industry 4.0 on LM in the Indian manufacturing sector is practically unavailable. The aim of this research is to explore how the fourth industrial revolution, referred to as Industry 4.0, can strategize LM in the Indian manufacturing context. Empirical studies have disclosed that Indian managers are hesitant to go for automation and technological developments. Results of this work reveal that there needs to be a change in attitude and approach. Lean implementers in India need to embrace Industry 4.0 to pivot LM by automating through Cyber-Physical Systems and creating a flexible design and production model of customized and smart products.

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