scholarly journals Prioritizing the barriers to tourism growth in rural India: an integrated multi-criteria decision making (MCDM) approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
R.K. Jena ◽  
Yogesh Dwivedi
Keyword(s):  
Decision Making ◽  
Rural Areas ◽  
Service Industry ◽  
Central India ◽  
Hospitality Management ◽  
Rural Tourism ◽  
Rural India ◽  
Multi Criteria Decision Making ◽  
Content Type ◽  
Tourism And Hospitality

PurposeTourism is one of the upcoming service industry in India with high potentials for future growth, particularly in rural areas. Many potential barriers are affecting the growth of tourism in rural India. Therefore, it is essential to explore and prioritize the barriers to tourism growth in rural India.Design/methodology/approachQualitative and quantitative responses from “16” experts related to tourism and hospitality management from central India are collected for this study. An integrated Multi-Criteria Decision Making (MCDM) based framework is adopted to identify and relate significant barriers to tourism growth in India.FindingsThe result of the study identified many significant barriers and their importance to tourism growth in rural India.Research limitations/implicationsThe findings of this study add to the knowledge base of tourism research in line with the previous literature. This study offers an in-depth understanding of barriers focusing on rural tourism growth and devising both the plan of action and the suggestive measures in dealing with rural tourism.Originality/valueThe study provides a robust framework by integrating Interpretive Structural Modelling(ISM) and Decision Making Trial and Evaluation Laboratory (DEMATEL) to explore and prioritizing the critical barriers to rural tourism growth in India. The results of this study can help the decision-maker to fundamentally improve the economy of India through the growth of rural tourism.

Lifeline Express: Hospital Train in Rural India

2021 ◽  
pp. 251660422197724
Author(s):  
Jashim Uddin Ahmed ◽  
Saima Siddiqui ◽  
Asma Ahmed ◽  
Kazi Pushpita Mim
Keyword(s):  
Southeast Asia ◽  
Rural Areas ◽  
Medical Service ◽  
Service Industry ◽  
Rural India ◽  
Medical Team ◽  
Rural People ◽  
Quality Healthcare ◽  
The People ◽  
Medical Facilities

India’s medical service industry is an emerging force in Southeast Asia, which should be recognized. A large portion of the country’s GDP is being earned through this sector. Paradoxically, India’s rural sphere has always been highly deprived of medical facilities even in rudimentary level. This huge imbalance was previously an issue for India to reach to a footing through innovation. India still being a developing country has majority of people living in rural areas where quality healthcare is not only difficult to avail but sometimes even hard to access. In such circumstances, an initiative like Lifeline Express (LLE) has provided the people with access to quality healthcare which has been crucially needed. It is a very simple idea but incredibly complex in terms of execution throughout the whole region. The LLE is a hospital which moves throughout rural India in a form of a fully equipped train. Since 1991, this initiative in India has generated some commendable projects through which it has served many rural Indians. Through this case, it will be comprehensible of how the train and the medical team function and will show the limitations and challenges healthcare in India is facing and how LLE has proved its fantastic ability to fight with the constraints and make healthcare reach the doorsteps of the rural people. Despite the challenges and limitations, it is also been revealed how the journey of LLE has grown from a three-coach train to seven-coach train where patients get treatment of many diseases from the early 1990s to this day.

scholarly journals Lifeline Express: Hospital Train in Rural India

2020 ◽  
Vol 2 (2) ◽  
pp. 87-97
Author(s):  
Jashim Uddin Ahmed ◽  
Saima Siddiqui ◽  
Asma Ahmed ◽  
Kazi Pushpita Mim
Keyword(s):  
Southeast Asia ◽  
Rural Areas ◽  
Medical Service ◽  
Service Industry ◽  
Rural India ◽  
Medical Team ◽  
Rural People ◽  
Quality Healthcare ◽  
The People ◽  
Medical Facilities

India’s medical service industry is an emerging force in Southeast Asia, which should be recognized. A large portion of the country’s GDP is being earned through this sector. Paradoxically, India’s rural sphere has always been highly deprived of medical facilities even in rudimentary level. This huge imbalance was previously an issue for India to reach to a footing through innovation. India still being a developing country has majority of people living in rural areas where quality healthcare is not only difficult to avail but sometimes even hard to access. In such circumstances, an initiative like Lifeline Express (LLE) has provided the people with access to quality healthcare which has been crucially needed. It is a very simple idea but incredibly complex in terms of execution throughout the whole region. The LLE is a hospital which moves throughout rural India in a form of a fully equipped train. Since 1991, this initiative in India has generated some commendable projects through which it has served many rural Indians. Through this case, it will be comprehensible of how the train and the medical team function and will show the limitations and challenges healthcare in India is facing and how LLE has proved its fantastic ability to fight with the constraints and make healthcare reach the doorsteps of the rural people. Despite the challenges and limitations, it is also been revealed how the journey of LLE has grown from a three-coach train to seven-coach train where patients get treatment of many diseases from the early 1990s to this day.

The framework of data-driven and multi-criteria decision-making for detecting unbalanced bidding

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Huimin Li ◽  
Limin Su ◽  
Jian Zuo ◽  
Xiaowei An ◽  
Guanghua Dong ◽  
...  
Keyword(s):  
Decision Making ◽  
Distance Measure ◽  
Public Procurement ◽  
Unit Price ◽  
Data Driven ◽  
Relative Distance ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Content Type ◽  
The Government

PurposeUnbalanced bidding can seriously imposed the government from obtaining the best value for the taxpayers' money in public procurement since it increases the owner's cost and decreases the fairness of the competitive bidding process. How to detect an unbalanced bid is a challenging task faced by theoretical researchers and practical actors. This study aims to develop an identification method of unbalanced bidding in the construction industry.Design/methodology/approachThe identification of unbalanced bidding is considered as a multi-criteria decision-making (MCDM) problem. A data-driven unit price database from the historical bidding document is built to present the reference unit prices as benchmarks. According to the proposed extended TOPSIS method, the data-driven unit price is chosen as the positive ideal solution, and the unit price that has the furthest absolute distance measure as the negative ideal solution. The concept of relative distance is introduced to measure the distances between positive and negative ideal solutions and each bidding unit price. The unbalanced bidding degree is ranked by means of relative distance.FindingsThe proposed model can be used for the quantitative evaluation of unbalanced bidding from a decision-making perspective. The identification process is developed according to the decision-making process. The finding shows that the model will support owners to efficiently and effectively identify unbalanced bidding in the bid evaluation stage.Originality/valueThe data-driven reference unit prices improve the accuracy of the benchmark to evaluate the unbalanced bidding. The extended TOPSIS model is applied to identify unbalanced bidding; the owners can undertake objective decision-making to identify and prevent unbalanced bidding at the stage of procurement.

Coping mechanisms of Philippine tourism and hospitality family businesses during the COVID-19 pandemic: a non-parametric approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Andrea Santiago ◽  
Fernando Martin Roxas ◽  
John Paolo Rivera ◽  
Eylla Laire Gutierrez
Keyword(s):  
Rural Areas ◽  
Family Firms ◽  
The Philippines ◽  
Academic Community ◽  
Family Businesses ◽  
Content Type ◽  
Family Enterprises ◽  
Tourism And Hospitality ◽  
The Impact ◽  
Non Parametric

PurposeFamily businesses (FB), mostly small-sized, dominate the tourism and hospitality industry (THI), especially in the rural areas. While many would have been used to the impact of demand seasonality, it is unknown how these businesses would have survived through the restrictions imposed to contain the coronavirus disease 2019 (COVID-19) pandemic as compared to non-family business (NFB) counterparts. This study aims to determine if there were differences on how family and non-family enterprises in the THI coped with government restrictions.Design/methodology/approachBy subjecting the survey data from tourism enterprises to non-parametric techniques, the authors establish empirical evidence on similarities and differences of coping strategies adopted by FBs and NFBs; their required support from government and their perceptions of a post-pandemic THI.FindingsThe analysis revealed that family-owned tourism and hospitality businesses in the Philippines tended to collaborate with other businesses to manage the impact of the pandemic restrictions. Since they hired more seasonal workers prior to the restrictions, they tended to avoid hiring workers during the restricted period. NFBs, on the other hand, that were generally larger in size and more professionally managed with more regular employees, tended to streamline operations for greater efficiency.Research limitations/implicationsThe study relied on survey results distributed and collected online. There is an innate bias against those firms that did not have access to the survey links.Practical implicationsThe comparative study suggests that interventions to assist firms in the THI should consider the differences in firm ownership as “one size does not fit all.”Social implicationsThe study provides evidence about how environmental factors impact the operations of family firms. Thus, it provides valuable insights for both the academic community and industry practitioners.Originality/valueThis is the first study in the Philippines that was able to capture response of family and non-family firms in the THI during the COVID-19 lockdown.

Social and economic empowerment of women through financial inclusion: empirical evidence from India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mukesh Pal ◽  
Hemant Gupta ◽  
Yogesh C. Joshi
Keyword(s):  
Decision Making ◽  
Social Welfare ◽  
Financial Inclusion ◽  
Rural India ◽  
Women Empowerment ◽  
Bank Account ◽  
Content Type ◽  
Financial Decision Making ◽  
Financial Decision ◽  
The Impact

PurposeWomen empowerment becomes an important policy discussion in development economics and modernization theory. The empowerment of women can lead to an increase in the quality viz-a-viz the capacity of human resources accessible for economic development. The purpose of this study is to evidence the impact of social and economic dimensions on women empowerment through financial inclusion in rural India.Design/methodology/approachTo reveal the research objective, the study has utilized a primary survey of women respondents from the Gujarat state of India by a simple random sampling method and applied a logistic regression approach to identify the relationship between the need of a bank account (determinant of financial inclusion) as a dependent variable and social and economic dimensions of women empowerment such as earning status, participation in financial decision-making, recipient of social welfare schemes and perception towards the safety of saving as independent variables.FindingsThe results of this study show that earning status, participation in financial decision-making at household level and recipient of social welfare schemes by women have a significant impact on women empowerment through financial inclusion; however, safety of their savings is observed as an insignificant variable, yet the odd value is very high (2.437) in the present study.Originality/valueThe present study is the first of its kind to examine the social and economic status of women and its impact on their requirement of a formal bank account for the overall empowerment of women in rural India.

Happiness at work: a multi-criteria decision-making approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rinki Dahiya ◽  
Juhi Raghuvanshi
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Transformational Leadership ◽  
Design Methodology ◽  
Causal Relation ◽  
Multi Criteria Decision Making ◽  
Human Resource Managers ◽  
Content Type ◽  
Resource Managers ◽  
Causal Framework

Purpose Researchers have strived to identify the factors enhancing happiness at work (HAW), and the causal relations among the enablers of happiness remained underexplored. Therefore, this study aims to map and prioritize the causal relation structures of enablers of HAW. Design/methodology/approach Data were collected from key representatives of information technology (IT) firms located in India. A framework based on the cause and effect relationship among enablers of HAW is proposed, and to establish this causality, the decision-making trial and evaluation laboratory (DEMATEL) technique was applied. Findings The findings indicate five out of 12 enablers as causal, namely, transformational leadership, authentizotic work climate, person–organization work fit, organizational virtuousness and meaningfulness in work. Originality/value Human resource managers, organizational policymakers and scholars will gain greater understanding through this causal framework of enablers of HAW. Knowledge and facilitation of these enablers will aid in nurturing a happy workplace.

The innovation ecosystem in rural tourism and hospitality – a systematic review of innovation in rural tourism

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Arun Madanaguli ◽  
Puneet Kaur ◽  
Alberto Mazzoleni ◽  
Amandeep Dhir
Keyword(s):  
Systematic Review ◽  
Business Model ◽  
Resource Sharing ◽  
Business Environment ◽  
Business Model Innovation ◽  
Rural Tourism ◽  
Innovation Ecosystem ◽  
Content Type ◽  
Research Profile ◽  
Tourism And Hospitality

Purpose Innovation in rural tourism and hospitality (RT) is a complex process that involves the exchange of knowledge and resources between many actors and the interrelationships between those actors in the business environment. The purpose of this paper is to provide structure to this “knowledge and resource ecosystem” through a thorough systematic review of the extant literature. Design/methodology/approach The current study uses a time-tested and reproducible systematic literature review process to identify and analyse 79 research papers that have discussed innovation in RT. Findings Through content analyses, this review identifies critical stakeholders in the innovation ecosystem, as well as the enabling and hindering roles these stakeholders play in innovation. The thematic analysis uncovers three key research foci: stakeholders and their roles, outcomes of innovation and business model innovation. The review also identifies types of innovation and critically analyses the bibliographical research profile. The authors summarise the findings in an RT innovation ecosystem model, which includes the various actors and their knowledge and resource sharing roles within the business environment. Originality/value This is one of the first systematic reviews to concentrate on RT innovation and, within that focus, on knowledge and resource networks in particular rather than on innovation in tourism in general, which was the focus of prior reviews. The authors encourage cross-pollination of ideas by introducing theories from the strategic management, innovation, knowledge management and business model innovation literature wherever appropriate. To consolidate and present the findings on the innovation process’s antecedents and outcomes, the authors present an ecosystem of innovation within the RT framework.

Risk quantification in cold chain management: a federated learning-enabled multi-criteria decision-making methodology

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Henry Lau ◽  
Yung Po Tsang ◽  
Dilupa Nakandala ◽  
Carman K.M. Lee
Keyword(s):  
Decision Making ◽  
Evaluation System ◽  
Small And Medium Enterprises ◽  
Handling Time ◽  
Cold Chain ◽  
Pairwise Comparisons ◽  
Temperature Sensitive ◽  
Multi Criteria Decision Making ◽  
Firm Level ◽  
Content Type

PurposeIn the cold supply chain (SC), effective risk management is regarded as an essential component to address the risky and uncertain SC environment in handling time- and temperature-sensitive products. However, existing multi-criteria decision-making (MCDM) approaches greatly rely on expert opinions for pairwise comparisons. Despite the fact that machine learning models can be customised to conduct pairwise comparisons, it is difficult for small and medium enterprises (SMEs) to intelligently measure the ratings between risk criteria without sufficiently large datasets. Therefore, this paper aims at developing an enterprise-wide solution to identify and assess cold chain risks.Design/methodology/approachA novel federated learning (FL)-enabled multi-criteria risk evaluation system (FMRES) is proposed, which integrates FL and the best–worst method (BWM) to measure firm-level cold chain risks under the suggested risk hierarchical structure. The factors of technologies and equipment, operations, external environment, and personnel and organisation are considered. Furthermore, a case analysis of an e-grocery SC in Australia is conducted to examine the feasibility of the proposed approach.FindingsThroughout this study, it is found that embedding the FL mechanism into the MCDM process is effective in acquiring knowledge of pairwise comparisons from experts. A trusted federation in a cold chain network is therefore formulated to identify and assess cold SC risks in a systematic manner.Originality/valueA novel hybridisation between horizontal FL and MCDM process is explored, which enhances the autonomy of the MCDM approaches to evaluate cold chain risks under the structured hierarchy.

Lean in higher education

2019 ◽  
Vol 27 (1) ◽  
pp. 82-102 ◽  
Author(s):  
Yigit Kazancoglu ◽  
Yesim Deniz Ozkan-Ozen
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Business School ◽  
Stage Structure ◽  
Fuzzy Decision Making ◽  
Multi Criteria Decision Making ◽  
Stage Model ◽  
Content Type ◽  
Road Map ◽  
Multi Stage

PurposeThis research aims to investigate and define the eight wastes of lean philosophy in higher education institutions (HEIs) by proposing a multi-stage model.Design/methodology/approachThe authors have used a specific multi-criteria decision-making method, fuzzy decision-making trial and evaluation laboratory, to investigate the cause–effect relationships and importance order between criteria for wastes in HEIs. In total, 22 criteria were categorized under eight wastes of lean. The study was implemented in a business school with the participation of faculty members from different departments.FindingsThe results showed that the most important wastes in the business school selected were repeated tasks, unnecessary bureaucracy, errors because of misunderstanding/communication problems, excessive number of academic units and creation of an excessive amount of information. Another important result was that all the sub-wastes of talent were in the causes group, while motion and transportation wastes were in the effect group.Practical implicationsA road map to guide lean transformation for HEIs is proposed with a multi-stage model and potential areas for improvement in HEIs were presented.Originality/valueThis study proposes a multi-stage structure by applying multi-criteria decision-making to HEIs, focussing on wastes from a lean perspective.

A multi-criteria decision-making approach for quantification of accessibility to market facilities in rural areas: an application in Bangladesh

GeoJournal ◽  
2020 ◽  
Author(s):  
Niaz Mahmud Zafri ◽  
Ishrar Sameen ◽  
Anurima Jahangir ◽  
Nawshin Tabassum ◽  
Md. Musleh Uddin Hasan
Keyword(s):  
Decision Making ◽  
Rural Areas ◽  
Multi Criteria Decision Making
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