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The purpose of this paper is, first, to scrutinize the determinants of key benefits of open educational resources (OER) to faculty. Second, it is to expose how, in which routines the variables involved, are interrelated.

An exploratory design is used in this study. Qualitatively, key benefits include integration, opportunity, efficiency, enrichment, and collaboration. These benefits have direct impacts on enhancing student learning, augmenting teaching practice, improving productivity, catalyzing changes in teaching practice, and supporting non-traditional learners. Quantitatively, the key benefit is moderating the variables. Integration, opportunity, efficiency, enrichment, and collaboration are independent variables. Variables like enhancing student learning, enriching teaching practice, improving productivity, catalyzing changes, and supporting non-traditional learners are the dependent variables. The study population comprised the 721 Universitas Terbuka (UT) faculty members. The respondents were chosen randomly by distributing 450 questionnaires. Only 203 questionnaires were completed. Importance performance analysis and customer satisfaction index (IPA-CSI) were used to measure the importance level of variables involved and their benefits. Structural equation model (SEM) was used to examine the ten hypotheses developed so that the author could understand the significance level and relations power among variables engaged with reference to the qualitative outcomes previously obtained.

Six hypotheses were validated by the analysis. Statistically, efficiency and integration affect key benefits. Likewise, moderating variables affect teaching practice enhancement, productivity improvement, catalyzing changes, and supporting non-traditional learners. Conversely, key benefits were neither interrelated by opportunity, enrichment, and collaboration nor learning enhancement.

This study highlighted that adoption, integration, and implementation of OER in the UT milieu do take place.

This study recognized the variation of qualitative vs quantitative outcomes. An auxiliary inquiry is needed with broader perspective by increasing the respondents sample in order to minimize the difference between qualitative and quantitative results.

The research explores indecision of strategic leaders in a complex case organization. This research offers new insights into the drivers of indecision of upper echelons decision-makers and explores the perceived consequences of the decision-makers' indecision.

Following a review of literature on upper echelons theory and strategic decision-making, indecision and the antecedents and consequences of indecision, the research follows a qualitative exploratory design. Semi-structured interviews were conducted among 20 upper echelons decision-makers with responsibility across 19 Sub-Saharan African countries in a case company. Thematic analysis was used to analyze the data.

The findings reveal that specific organizational, interpersonal and personal factors work together to drive strategic leader indecision in a complex organization. Strategic leader indecision brings about several negative organizational consequences and demotivates team members.

The findings are based on a single-case exploratory design but represent geographical diversity.

The research cautions organizations to deal with the drivers of strategic leader indecision to help avoid potential negative consequences of stifled organizational performance and team demotivation.

The study offers previously unknown insights into strategic leader indecision. This study builds on current literature on the antecedents and consequences of indecision and has a new research setting of strategic leader indecision in a complex organization.

Service quality and satisfaction in the ODL setting related to students’ accomplishments (performance, loyalty and career) were reconsidered. It was aimed at exposing the moderating role of satisfaction on service quality and accomplishment. It was also of interest to scrutinize how, in what routines determinants engaged interdepended. The paper aims to discuss these issues.

This study utilized an exploratory design. It was qualitatively identified first that service quality included tangible, empathy, assurance, reliability, responsiveness and referral factors. It preceded to satisfaction (perceived from academic, operational and managerial attitudes). Satisfaction led to accomplishment. Quantitatively, service quality, satisfaction and accomplishment were identified as independent, moderating, and dependent variables, respectively. Respondents, 500 Universitas Terbuka graduates, were randomly pursued to accumulate data by a survey. Methodically, importance-performance analysis (IPA) and customer-satisfaction index (CSI) were used to figure out satisfaction and their importance degree. Nine hypotheses were developed and examined using structural-equation modeling to visualize the loading factors.

Replies from 163 respondents were completed. Seven of nine hypotheses were validated. It was distinguished that reliability influencing satisfaction, they were empathy, assurance and responsiveness; excluding tangible and referral. Satisfaction influenced performance, career, and loyalty. IPA-CSI analysis recognized 15 (of 21) attributes as the pillars of service quality.

Despite the qualitative framework was improperly approved by quantitative procedure, they were methodically reliable. It was supported by the fact that nine cut-off values of goodness-of-fit requirements harmonized. Additional inquiry is therefore required to tail off variances by integrating a more appropriate approach, amplifying theoretical coverage, and/or extending population/sample size.

This study envisioned plausible influential factors on service quality and academic excellence relatable to graduate self-confidence in an open distance learning (ODL) outlook. The objective was to expose the moderating role of academic excellence (graduate satisfaction) between service quality and self-confidence (engagement, achievement, loyalty and opportunity, EALO). It was also of interest to explore how, in what routines factors involved interrelated.

This study utilized exploratory design. Qualitatively, service quality included acclimation, advising, module, tutorial, assessment, feedback and referral factors. Service quality led to academic excellence (GPA, study length, relevance and recognition). Besides, academic excellence influenced self-confidence. Quantitatively, service quality, academic excellence and self-confidence were the independent, moderating and dependent variables. Respondents were randomly selected through a survey of eligible Universitas Terbuka alumni.

11 hypotheses were assessed under structural-equation modeling (SEM). Responses from 122 out of 500 graduates were completed. Eight hypotheses were validated by the analysis. The tutorial was the most influential factor followed by module, assessment and acclimation; advising, feedback and referral were excluded. Academic excellence also led to self-confidence. The study was able to visualize a substantial role of academic excellence in moderating service quality to EALO. Besides, important-performance analysis and customer-satisfaction index (IPA-CSI) recognized 21 out of 32 attributes as the pillars of academic excellence.

Three of the hypotheses were invalidated by the quantitative analysis. Further inquiry with much broader coverage is then required to diminish the variance to finally find the ideal framework.

This report explored enriched notions and dimensions of quality massive open online courses (QMOOCs). The purpose of this paper is to visualize the quality measures adjacent to MOOCs and understanding distinctive outlooks to approaching them. It was also of interests to envisage how and in what routines those notions and dimensions interrelated.

Exploratory-design was employed to qualitatively establishing conceptual and operational frameworks first through reviewing processes and focus-group discussions. QMOOCs were reflected by four dimensions: scientifically provable, technically feasible, economically beneficial and socio-culturally adaptable. Besides, QMOOCs involved six notions (6P: presage, process, product, practicability, prospective and power) and affected knowledge, skills and professionalism (KSP). Quantitatively, QMOOCs, 6P and KSP were the moderating, independent and dependent variables, respectively. Associated data were accumulated through survey by distributing 600 questionnaires randomly to 708 Universitas Terbuka faculty members; 299 of them were completed.

Nine hypotheses were scrutinized utilizing structural-equation model and eight were validated by the analysis. It was statistically inferred that product was alluded as the prime notion to QMOOCs followed by process, practicability, presage and power; prospective was excluded. Professionalism, knowledge and skill were influenced by QMOOCs. Importance-performance analysis (IPA) and customer-satisfaction index were emulated (and applied) to quantify respondents opinion and relevance degree of those engaged notions and dimensions. IPA analysis revealed four prominent notions (corresponding, functional, well-defined and learner-focused) and one dimension (technically feasible).

Qualitative framework was imperfectly confirmed by the quantitative upshot. Further inquiry is crucial searching for plausible validation how this consequence was marginally distinctive in conjunction with authenticating QMOOCs.

This study observes that academic excellence associated with satisfaction leads to persistence, loyalty and future careers as perceived by students in an open distance learning framework. The purpose of this paper is to scrutinize the influences of academic excellence as the origin of satisfaction, and how and in which routines those associated factors were interconnected.

The inquiry employed the mixed-methods (exploratory design) approach. It was qualitatively identified first that academic excellence included student orientation, academic counseling, learning materials, tutorial supports, evaluation systems, feedback mechanisms and referral schemes. These seven factors had repercussions on students’ persistence, loyalty and future careers. Quantitatively, seven factors of academic excellence and the latter are independent and dependent variables, respectively. Respondents were randomly selected to accumulate data through a survey from the overseas students of Universitas Terbuka Indonesia. Importance-performance analysis and customer-satisfaction index were concurrently applied to measure the excellence level and its importance degree. Ten hypotheses were established and then examined using structural equation modeling to encapsulate the interrelations intensity among the engaged factors.

Eight out of ten hypotheses were statistically validated by the analysis excluding tutorial supports and feedback mechanisms factors. It was inferred that evaluation systems were the most critical factor and orderly followed by referral schemes, academic counseling, learning materials and student orientation. Academic excellence had an impact on persistence and loyalty, followed by career advancement.

The study identified minor disparity of qualitative and quantitative results. Further query with wider perspectives was needed by also enlarging the sample to minimize the gaps.

This paper aims to explore the responses of households in the informal economic sector to the Cameroon Government strategy against Covid-19 in Yaounde, Cameroon between March and May 2020.

Given the recency of Covid-19, the exploratory design was used to collect and analyse information for the study. Empirical data was obtained through personal observations and questionnaires, whereas grey data were sourced from official sources in government and international agencies in Yaounde. The mode of the ordinal data generated from the questionnaire was used to characterise the attitudes of respondents to quarantine measures and bar charts were used to illustrate the distribution of responses.

The government’s strategy against Covid-19 was largely ignored in Yaounde between March and May 2020 because of the influence of the predominantly informal economy on household’s ability to allocate scarce resources between the competing needs of protecting their health on the one hand, and their livelihoods on the other hand. Poor households had to walk a difficult line between shutting down their businesses to protect their health or risking Covid-19 infections to protect their livelihoods. Over 53.1% of respondents thought quarantine measures were unsuccessful as over 63% ignored them. Quarantining and Social distancing were also difficult in informal settlements because of structural congestion.

Perhaps, the greatest limitation of this study was the use of non-probability sampling. As such, sampling error could not be estimated, blurring the ability to ascertain the degree of similarity between the sample and the study population. This made sample generalisability difficult.

There are short-term and long-term policy implications of these findings. Basic comprehensive measures including food and water distribution, as well as rent holidays, must be implemented in informal neighbourhoods to ensure more successful quarantines in future pandemics. In the long run, investments in urban social housing must be carried out to reduce slums, an ever-present risk factor in the rapid propagation of infections.

The originality of this study is first, in its level of analysis which is the household. By measuring household responses to quarantine measures within defined neighbourhoods, the study deviates from most that have adopted a theoretical approach and conducted analysis at country or regional levels. Few studies have attempted to investigate the failure of quarantine measures against Covid-19 from the viewpoint of the occupational characteristics of the populations involved.

This study aims to identify the drivers for adopting the circular economy (CE) in a born-sustainable business of the fashion sector.

An exploratory case study was carried out with a unique and relevant case: the only Brazilian company implementing circularity practices defined through a sectoral commitment, the 2020 Circular Fashion System Commitment.

From an analysis of the literature, a theoretical scheme composed of internal and external drivers is proposed. In the case studied, there is a prevalence of internal drivers that led the company to implement the CE. Most of the internal drivers described by the literature were identified in this research, except for two: profitability and available technology. Regarding the external drivers, of the 12 listed, only laws and regulations were identified. Thus, the results suggest that internal drivers are more numerous and may be more prominent than external ones for CE adoption in the born-sustainable business.

Due to its exploratory design and unique case study, the research does not allow generalizations, suggesting replication with a larger number of companies and carrying out quantitative research with born-sustainable companies and incumbent companies, for comparison. Considering that there is a difference between companies that decide for sustainable practices and companies that were already born sustainable, it can be questioned if the drivers for implementing CE for both companies are also different.

This study proposes a theoretical scheme that indicates the main internal and external drivers for companies' CE implementation. Developed from a literature review and applied in an empirical case, this scheme is comprehensive and can be adopted to analyze companies of different sizes and industries. Hence, this paper generates new perspectives for CE literature.

The pioneers of online wine tastings have set a new standard and introduced an innovative tool that combines various goals: contacting existing and recruiting new customers, entertaining participants and boosting sales. Within the framework of the study, the authors addressed questions such as the reasons for offering online wine tasting, profitability and the basic characteristics and future perspectives of this new interactive online tool.

A mixed-methods research was conducted using a sequential exploratory design to analyse online wine tastings during Covid-19 pandemic. First, 40 in-depth interviews in Germany were conducted and, based on these results, a global online survey was undertaken with 1,423 wineries from more than 40 countries.

The survey results clearly show the effect of Covid-19 on the growing tendency to employ online wine tastings. This tool is about more than just providing entertainment for wine lovers in that it also has a tangible business aspect.

Based on these results, the authors assume that online wine tastings will continue to be offered after the Covid-19 crisis.

This paper offers a situation analysis of the first 10 months of the Covid-19 pandemic in the field of online wine tastings worldwide. The authors conducted a quantitative online survey that built on a qualitative pre-study. Given the fact that no academic paper has been published on the topic, this paper provides first insights on a global scale.

Twitter is the most widely used platform with an open network; hence, tourists often resort to Twitter to share their travel experiences, satisfaction/dissatisfaction and other opinions. This study is divided into two sections, first to provide a framework for understanding public sentiments through Twitter for tourism insights, second to provide real-time insights of three Indian heritage sites i.e., the Taj Mahal, Red Fort and Golden Temple by extracting 5,000 tweets each (n = 15,000) using Twitter API. Results are interpreted using NRC emotion lexicon and data visualisation using R.

This study attempts to understand the public sentiment on three globally acclaimed Indian heritage sites, i.e. the Taj Mahal, Red Fort and Golden temple using a step-by-step approach, hence proposing a framework using Twitter analytics. Extensive use of various packages of R programming from the libraries has been done for various purposes such as extraction, processing and analysing the data from Twitter. A total of 15,000 tweets from January 2015 to January 2021 were collected of the three sites using different key words. An exploratory design and data visualisation technique has been used to interpret results.

After data processing, 12,409 sentiments are extracted. Amongst the three tourists' spots, the greatest number of positive sentiments is for the Taj Mahal and Golden temple with approximately 25% each. While the most negative sentiment can be seen for the Red Fort (17%). Amongst the positive emotions, the maximum joy sentiment (12%) can be seen in the Golden Temple and trust (21%) in the Red Fort. In terms of negative emotions, fear (13%) can be seen in the Red fort. Overall, India's heritage sites have a positive sentiment (20%), which surpasses the negative sentiment (13%). And can be said that the overall polarity is towards positive.

This study provides a framework on how to use Twitter for tourism insights through text mining public sentiments and provides real- time insights from famous Indian heritage sites.