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1 – 10 of 38Roopa Modem, Sethumadhavan Lakshminarayanan, Murugan Pattusamy, Rajasekharan Pillai K. and Nandan Prabhu
This study addresses a central research question: Is individuals’ propensity to hide knowledge a “political phenomenon” among researchers in the Indian higher education…
Abstract
Purpose
This study addresses a central research question: Is individuals’ propensity to hide knowledge a “political phenomenon” among researchers in the Indian higher education institutions? Drawing upon social exchange and uncertainty management theories, the authors examine how a three-way interaction effect of perceptions of organizational politics, political will and political skill contributes to knowledge hiding. In addition, this study aims to develop a nuanced understanding of the knowledge hiding phenomenon in the Indian higher education context.
Design/methodology/approach
This study adopts a mixed-method study design with an explanatory sequential approach. The authors gathered data through a cross-sectional survey of 286 researchers (Study 1) followed by two focus group discussions (Study 2) involving 13 academic researchers from five Indian universities. The sample includes full-time faculty members, postgraduate and full-time doctoral students engaged in research.
Findings
The results of Study 1 indicate that researchers’ perceptions of organizational politics positively relate to their knowledge hiding. The findings of this study also suggest that the positive relationship between perceptions of organizational politics and knowledge hiding turns negative for individuals with high political will and high political skill. The focus group discussions (Study 2) explore significant predictors of knowledge hiding. This study unveils various characteristics of knowledge, knowledge hider, knowledge seeker and interpersonal dynamics as the key drivers of knowledge hiding in Indian academia.
Originality/value
The significant contributions of this study are to provide new insights into the relationship between organizational politics and knowledge hiding and to unravel the various factors that incite knowledge hiding among researchers in the Indian higher education context. This study is one among the few in the knowledge hiding literature to adopt a mixed-method research design with an explanatory sequential approach.
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K. Thirugnanasambantham, Pillai K. Rajasekharan, Vidya Patwardhan, G. Raghavendra and Shreelatha Rao
India has a marvelous distinction of hosting religious and cultural extravaganzas on an enormous scale, keeping in with its rich lineage and civilizational assortment. The…
Abstract
Purpose
India has a marvelous distinction of hosting religious and cultural extravaganzas on an enormous scale, keeping in with its rich lineage and civilizational assortment. The philosophical threads of such festivals are eventually subjective well-being and spiritual awakening. In this context, the authors examine how the visitors' festival motivation culminates in life satisfaction and subjective well-being.
Design/methodology/approach
The study follows a theory-driven deductive approach to test the construed relationships. The data were collected from the sites of religious fiesta when the participants were immersed in their cultural fervor. The study uses structural equation modeling to examine the hypothesized model.
Findings
The study finds that place attachment and life satisfaction empirically mediate the relationship between festival motivation and subjective well-being. However, the relationship between place attachment and subjective well-being is not empirically strong when life satisfaction mediates their relationship.
Research limitations/implications
The study is based on a convenience sample and is limited to the visitors of local religious festivals. Future research must verify the suitability of the model in other types of festivals of other religions and different locations. Also, this research deliberates on the relationship between only four variables. Future researchers could discuss other variables such as authenticity, emotional solidarity, festival images, festival values, religious faith, etc. to develop a more robust model to explain the relationship between festival motivation and subjective well-being.
Practical implications
In India regardless of social strata, people are religiously conscious and inclined toward attending publicly celebrated religious festivals. The scale of these festivals is significant and given the scenario, the local Government has to join hands with the temple administration, local people and visitors to reap the full benefits of the festival. These temple festivals not only foster coordination and involvement among various stakeholders, but also invoke the devotion of the people to jointly organize the celebrations.
Social implications
As some of the religious festivals go beyond caste, creed and nationality, the celebrations should evolve as multi-cultural mass events uniting the societal cohesiveness, spirit and national culture. The variables chosen and results found in this study will surely support publicizing the significance of religious festivals in the region and provide an idea to the organizers and supporters to develop new strategies to promote similar events.
Originality/value
The results claim several implications for theory and practice. Theoretically, the study contributes to the literature on religious tourism and event management. Practically, the study discussions indicate the importance of disseminating the significance of religious festivals as a platform for local tourist attractions to generate social, cultural and economic benefits.
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Rajasekharan Pillai K. and Ashish Viswanath Prakash
The purpose of the study is to analyse the perception of students toward a computer-based exam on a custom-made digital device and their willingness to adopt the same for…
Abstract
Purpose
The purpose of the study is to analyse the perception of students toward a computer-based exam on a custom-made digital device and their willingness to adopt the same for high-stake summative assessment.
Design/methodology/approach
This study followed an analytical methodology using survey design. A modified version of students’ perception of e-assessment questionnaire (SPEAQ) was used to elicit information from the subjects, who were drawn from a first-year post-graduate course in management and commerce, soliciting voluntary participation in the survey. SmartPLS 2.0 was the major analytical tool used to understand the theoretical robustness of observed and latent variables through structural equation modelling. The final model was retained based on the structural significance of the path coefficients.
Findings
The results of the study offer ample evidence to establish the proposed theoretical relationship. It was found that the subjects of the study maintained a positive attitude toward e-assessment. Hence, the introduction of e-exams for high-stake assessment is suitable to current generation students.
Research limitations/implications
Findings of the study may be irrelevant to students who are not subject to e-learning processes, as an e-assessment can only be effective when students have ample exposure to working on computers.
Practical/implications
A major practical implication of the study is that e-exams will positively influence the outcome of education and effectiveness of the teaching–learning process. Technology, as an eclectic paradigm, can amplify the educational outcome by boosting the competency of students to meet challenges of any emerging situations.
Originality/value
The idea of an e-exam, using a custom-made device, is unprecedented. This paper offers a convincing empirical evidence to academic administrators to integrate e-assessment with e-learning programs.
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Raghavendra Nayak and Rajasekharan Pillai K
The purpose of this study is to explore the current state of knowledge of sustainable entrepreneurship (SE) and to gain more insights from the articles originated from the…
Abstract
Purpose
The purpose of this study is to explore the current state of knowledge of sustainable entrepreneurship (SE) and to gain more insights from the articles originated from the emerging economies. This paper also sets an agenda for future research in this knowledge domain.
Design/methodology/approach
The authors perform a systematic literature review by analyzing the primary studies related to SE originating from emerging economies from Asia, Africa and the Middle East. This review scrutinizes a total number of 45 studies to explore the current state of research in this knowledge domain from such economies.
Findings
Overall, this review finds that SE research is still at the nascent stage, especially in the context of emerging economies. The authors elicit a few sub-themes, within the SE research, such as individual-level factors, organizational-level factors, institutional-level factors and cultural and social factors.
Research limitations/implications
The authors present a few limitations of this study. Firstly, this study uses articles from the Scopus and Web of Science only. Secondly, this systematic review is limited to the articles originated from emerging economies of Asia, Africa and the Middle East. Thirdly, this review gives overall picture of the SE research in emerging economies and the same in other economies is not in the scope of this study.
Practical implications
The findings of this study will be helpful to the researchers to locate avenues for future course of research in SE field. This study helps the policymakers and educational institutions of emerging economies understand and ingrain sustainability element in entrepreneurship, and thereby helps them to fulfill sustainable economy and sustainable development goals.
Originality/value
To the best of the authors’ knowledge, this study is the first of its kind in the field of SE in emerging economies. This review gives more insights on the state of SE in the emerging economies, as these economies can significantly contribute to the realization of Sustainable Development Goals.
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Rashidi Othman, Mohd Akram Abdurasid, Noraini Mahmad and Nurrulhidayah Ahmad Fadzillah
The purpose of this paper is to extract, characterise and quantify curcumin from selected Zingiberaceae of “kunyit” or turmeric (Curcuma longa), “temu lawak” or Javanese turmeric …
Abstract
Purpose
The purpose of this paper is to extract, characterise and quantify curcumin from selected Zingiberaceae of “kunyit” or turmeric (Curcuma longa), “temu lawak” or Javanese turmeric (Curcuma xanthorrhiza), “temu pauh” (Curcuma mangga), “lempoyang” (Zingiber zerumbet) and “bonglai” (Zingiber cassumunar) using alkaline and chemical-based extraction method for antimicrobial and antioxidant activities.
Design/methodology/approach
Through the alkaline-based extraction method, all parts of rhizome samples were freeze-dried for 72 h before grounded into a fine powder and kept at −20°C. The powdered sample (0.1 g) was weighed and placed in a 50 mL tube. About 20 mL of 2 M NaOH solution was added into the tube. The solution was allowed to stand for 30 min. Then, 20 mL of ethyl acetate was added into the tube. The solution was mixed well then centrifuged at 13,500 rpm for 3 min. The upper layer was collected using a pipette. The process was repeated until the upper layer became almost colourless. The collected ethyl acetate solution was concentrated using a rotary evaporator to remove the ethyl acetate from the extracted compound. The concentrated curcumin was placed in a universal bottle, which was then dried from the remaining ethyl acetate using nitrogen drying process. The dried curcumin was then stored inside the freezer at −20ºC. The antimicrobial activities were using agar diffusion method against bacterial and fungi, while the antioxidant activity was evaluated using 2,2-diphenyl-1-picrylhydrazyl (DPPH) scavenging assay.
Findings
All the samples successfully showed a single peak (curcumin) that gained from the high-performance liquid chromatography (HPLC) chromatogram analysis (at 425 nm) using the alkaline-based extraction method and the highest curcumin content was in turmeric (12.95 ± 1.07mg/g DW). At 10.0 mg/mL curcumin concentration, the best antibacterial activity was against on methicillin-resistant staphylococcus aureus (MRSA) with 7.50 ± 0.71 mm inhibition zone, while the best antifungal activity was against on Aspergillus niger with 8.00 ± 0.41 mm inhibition zone. The DPPH antioxidant test resulted in the highest inhibition (110.41 per cent) was at 0.25 mg/mL curcumin concentration.
Originality/value
Through HPLC analysis, all samples successfully showed a single peak of curcumin at 425 nm. The total carotenoid determination from turmeric revealed that the samples content was substantially higher using alkaline-based extraction (18.40 ± 0.07 mg/g DW) compared to chemical-based extraction (9.42 ± 0.20 mg/g ± SD).
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Deniz Karagöz and Haywantee Ramkissoon
The objective of this study was to examine the relationships among festival personality, satisfaction and loyalty. Also, the study further analyzed the moderation effect of…
Abstract
Purpose
The objective of this study was to examine the relationships among festival personality, satisfaction and loyalty. Also, the study further analyzed the moderation effect of involvement on the relationships between festival personality, satisfaction and loyalty.
Design/methodology/approach
The authors adopt a two-stage mixed-method approach. Through a list of brand personality traits from previous research and in-depth interviews with participants of a film festival, festival personality constructs were identified: exceptional, competent, reliable and cozy. The authors then analyzed an integrative model of festival personality, satisfaction, involvement and loyalty from the qualitative findings. A survey with a convenience sample of 279 film festival participants was conducted.
Findings
The findings suggest that festival personality influence satisfaction and loyalty. Furthermore, this study confirms the significant impact of involvement on the relationships between festival personality, satisfaction and loyalty.
Originality/value
This study enables authors to understand the festival personality from the perspective of the visitors and expands the theoretical understanding of how the personality of the festival affects the visitors. The findings of this study suggest that the festival personality can be predictors and determinants of participants' satisfaction and loyalty. Also, this is one of the first attempts to identify the effects of involvement on festival personality and its outcomes. Current research findings demonstrated involvement as a moderator variable in the relationships between festival personality and festival satisfaction and loyalty.
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Reema Khaled AlRowais and Duaa Alsaeed
Automatically extracting stance information from natural language texts is a significant research problem with various applications, particularly after the recent explosion of…
Abstract
Purpose
Automatically extracting stance information from natural language texts is a significant research problem with various applications, particularly after the recent explosion of data on the internet via platforms like social media sites. Stance detection system helps determine whether the author agree, against or has a neutral opinion with the given target. Most of the research in stance detection focuses on the English language, while few research was conducted on the Arabic language.
Design/methodology/approach
This paper aimed to address stance detection on Arabic tweets by building and comparing different stance detection models using four transformers, namely: Araelectra, MARBERT, AraBERT and Qarib. Using different weights for these transformers, the authors performed extensive experiments fine-tuning the task of stance detection Arabic tweets with the four different transformers.
Findings
The results showed that the AraBERT model learned better than the other three models with a 70% F1 score followed by the Qarib model with a 68% F1 score.
Research limitations/implications
A limitation of this study is the imbalanced dataset and the limited availability of annotated datasets of SD in Arabic.
Originality/value
Provide comprehensive overview of the current resources for stance detection in the literature, including datasets and machine learning methods used. Therefore, the authors examined the models to analyze and comprehend the obtained findings in order to make recommendations for the best performance models for the stance detection task.
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