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This research aims to explore digital feedback needs/preferences in online education during lockdown and the implications for post-pandemic education.

An empirical study approach was used to explore feedback needs and experiences from educational institutions in the Netherlands and Germany (N = 247) using a survey method.

The results showed that instruments supporting features for effortless interactivity are among the highly preferred options for giving/receiving feedback in online/hybrid classrooms, which are in addition also opted for post-pandemic education. The analysis also showed that, when communicating feedback digitally, more inclusive formats are preferred, e.g. informing learners about how they perform compared to peers. The increased need for comparative performance-oriented feedback, however, may affect students' goal orientations. In general, the results of this study suggest that while interactivity features of online instruments are key to ensuring social presence when using digital forms of feedback, balancing online with offline approaches should be recommended.

This research contributes to the gap in the scientific literature on feedback digitalization. Most of the existing research are in the domain of automated feedback generated by various learning environments, while literature on digital feedback in online classrooms, e.g. empirical studies on preferences for typology, formats and communication channels for digital feedback, to the best of the authors’ knowledge is largely lacking. The findings and recommendations of this study extend their relevance to post-pandemic education for which hybrid classroom is opted among the highly preferred formats by survey respondents.

This paper aims to gain insight into the psychological dynamics of work motivation; specific work values are related to foci and dimensions of commitment to understand how different values influence people's commitments.

A survey from a hospital (n=222) was analyzed on the relationships between organizational values, individual values, affective and normative commitment on both an organizational and an occupational level.

Results supported the proposition that dimensions of commitment can be aligned along the flexibility‐control axis of the competing values framework (CVF) and that the foci of commitment can be aligned along the internal‐external axis of the CVF but, in line with recent findings, congruence effects were absent.

Although small effect sizes were found, and results based on self‐report have to be handled cautiously, the hypothesized pattern was found for affective and normative organizational and occupational commitment. This gives insights into the values associated with these types of commitments.

Specific values which are found to be related to specific kinds of commitment can direct strategies for influencing commitments in organizational contexts.

As specific values are linked to specific commitments, practitioners gain insight into which values may lead to a specific kind of commitment, enabling them to develop strategies for enhancing commitment, and academics see how the CVF corresponds to newly developed insights into commitment research.

The purpose of this article is to provide further insight into the relationship between supervisor support and transfer of training, by taking into account the effects of other transfer‐influencing factors in a systemic approach of the transfer process.

A review of studies on factors affecting transfer of training was conducted, with a specific focus on the effects of supervisor support, resulting in the development of a research model of the transfer process. All components of the model were measured by means of questionnaires for former trainees and their supervisors, and stepwise regression analyses were carried out to examine the relationships in the model.

Results indicate indirect relationships between supervisor support and transfer of training, by means of both trainees' motivation to transfer and the transfer climate. The indirect effect of supervisor support on transfer of training is only slight, however. Learning results are shown to be the strongest predictor of transfer of training.

Owing to the small sample size structural equation modelling techniques could not be used, thus limiting the possibility to test the model as a single entity. The use of perceptional measures implies the risk of response tendencies from trainees and supervisors. Further research using different measures and different timing of measurement during the training and transfer process is recommended.

Results of this study indicate that supervisor support that is intended to enhance transfer of training can best be directed at improvement of the transfer climate at the workplace.

The paper provides both researchers and practitioners with a further insight into the complex effects of supervisor support on transfer of training, indicating the importance of taking into account the effects of other transfer‐influencing factors.

Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured supply chain practices, lack of awareness of the implications of the sustainability concept and failure to recycle poultry wastes. The current research thus attempts to develop an integrated supply chain model in the context of poultry industry in Bangladesh. The study considers both sustainability and supply chain issues in order to incorporate them in the poultry supply chain. By placing the forward and reverse supply chains in a single framework, existing problems can be resolved to gain economic, social and environmental benefits, which will be more sustainable than the present practices.

The theoretical underpinning of this research is ‘sustainability’ and the ‘supply chain processes’ in order to examine possible improvements in the poultry production process along with waste management. The research adopts the positivist paradigm and ‘design science’ methods with the support of system dynamics (SD) and the case study methods. Initially, a mental model is developed followed by the causal loop diagram based on in-depth interviews, focus group discussions and observation techniques. The causal model helps to understand the linkages between the associated variables for each issue. Finally, the causal loop diagram is transformed into a stock and flow (quantitative) model, which is a prerequisite for SD-based simulation modelling. A decision support system (DSS) is then developed to analyse the complex decision-making process along the supply chains.

The findings reveal that integration of the supply chain can bring economic, social and environmental sustainability along with a structured production process. It is also observed that the poultry industry can apply the model outcomes in the real-life practices with minor adjustments. This present research has both theoretical and practical implications. The proposed model’s unique characteristics in mitigating the existing problems are supported by the sustainability and supply chain theories. As for practical implications, the poultry industry in Bangladesh can follow the proposed supply chain structure (as par the research model) and test various policies via simulation prior to its application. Positive outcomes of the simulation study may provide enough confidence to implement the desired changes within the industry and their supply chain networks.

With the outbreak of the COVID-19 pandemic, online assessment has become the dominant mode of examination in higher education institutions. However, there are contradictory findings on how students perceive online assessment and its impact on their academic performance. Thus, the purpose of this study is to evaluate the potential impact of online assessment on students' academic performance.

This study proposes a research model based on the task–technology fit theory and empirically validates the model using a survey from students in the UK. In addition, the study conducted four experiments based on paper-based and online assessments and analysed the data using paired sample t test and structural equation modelling.

The findings show that the use of online assessment has a positive impact on students' academic performance. Similarly, the results from the experiment also indicate that students perform better using online assessments than paper-based assessments.

The findings provide crucial evidence needed to shape policy towards institutionalising online assessment. In addition, the findings provide assurance to students, academics, administrators and policymakers that carefully designed online assessments can improve students' academic performance. Moreover, the study also provides important insights for curriculum redesign towards transitioning to online assessment in higher education institutions.

This study advances research by offering a more nuanced understanding of online assessment on students' academic performance since the majority of previous studies have offered contradictory findings. In addition, the study moves beyond existing research by complementing assessment results with the views of students in evaluating the impact of online assessment on their academic performance. Second, the study develops and validates a research model that explains how the fits between technology and assessment tasks influence students' academic performance. Lastly, the study provides evidence to support the wide use of online assessment in higher education.

This study aims to focus on providing a computerized classification testing (CCT) system that can easily be embedded as a self-assessment feature into the existing legacy environment of a higher education institution, empowering students with self-assessments to monitor their learning progress and following strict data protection regulations. The purpose of this study is to investigate the use of two different versions (without dashboard vs with dashboard) of the CCT system during the course of a semester; to examine changes in the intended use and perceived usefulness of two different versions (without dashboard vs with dashboard) of the CCT system; and to compare the self-reported confidence levels of two different versions (without dashboard vs with dashboard) of the CCT system.

A total of N = 194 students from a higher education institution in the area of economic and business education participated in the study. The participants were provided access to the CCT system as an opportunity to self-assess their domain knowledge in five areas throughout the semester. An algorithm was implemented to classify learners into master and nonmaster. A total of nine metrics were implemented for classifying the performance of learners. Instruments for collecting co-variates included the study interest questionnaire (Cronbach’s a = 0. 90), the achievement motivation inventory (Cronbach’s a = 0. 94), measures focusing on perceived usefulness and demographic data.

The findings indicate that the students used the CCT system intensively throughout the semester. Students in a cohort with a dashboard available interacted more with the CCT system than students in a cohort without a dashboard. Further, findings showed that students with a dashboard available reported significantly higher confidence levels in the CCT system than participants without a dashboard.

The design of digitally supported learning environments requires valid formative (self-)assessment data to better support the current needs of the learner. While the findings of the current study are limited concerning one study cohort and a limited number of self-assessment areas, the CCT system is being further developed for seamless integration of self-assessment and related feedback to further reveal unforeseen opportunities for future student cohorts.

A composite sentiment index (CSI) from quantitative proxy sentiment indicators is likely to be a lag sentiment measure as it reflects only the information absorbed in the market. Information theories and behavioral finance research suggest that market prices may not adjust to all the available information at a point in time. This study hypothesizes that the sentiment from the unincorporated information may provide possible market leads. Thus, this paper aims to discuss a method to identify the un-incorporated qualitative Sentiment from information unadjusted in the market price to test whether sentiment polarity from the information can impact stock returns. Factoring market sentiment extracted from unincorporated information (residual sentiment or sentiment backlog) in CSI is an essential step for developing an integrated sentiment index to explain deviation in asset prices from their intrinsic value. Identifying the unincorporated Sentiment also helps in text analytics to distinguish between current and future market sentiment.

Initially, this study collects the news from various textual sources and runs the NVivo tool to compute the corpus data’s sentiment polarity. Subsequently, using the predictability horizon technique, this paper mines the unincorporated component of the news’s sentiment polarity. This study regresses three months’ sentiment polarity (the current period and its lags for two months) on the NIFTY50 index of the National Stock Exchange of India. If the three-month lags are significant, it indicates that news sentiment from the three months is unabsorbed and is likely to impact the future NIFTY50 index. The sentiment is also conditionally tested for firm size, volatility and specific industry sector-dependence. This paper discusses the implications of the results.

Based on information theories and empirical findings, the paper demonstrates that it is possible to identify unincorporated information and extract the sentiment polarity to predict future market direction. The sentiment polarity variables are significant for the current period and two-month lags. The magnitude of the sentiment polarity coefficient has decreased from the current period to lag one and lag two. This study finds that the unabsorbed component or backlog of news consisted of mainly negative market news or unconfirmed news of the previous period, as illustrated in Tables 1 and 2 and Figure 2. The findings on unadjusted news effects vary with firm size, volatility and sectoral indices as depicted in Figures 3, 4, 5 and 6.

The related literature on sentiment index describes top-down/ bottom-up models using quantitative proxy sentiment indicators and natural language processing (NLP)/machine learning approaches to compute the sentiment from qualitative information to explain variance in market returns. NLP approaches use current period sentiment to understand market trends ignoring the unadjusted sentiment carried from the previous period. The underlying assumption here is that the market adjusts to all available information instantly, which is proved false in various empirical studies backed by information theories. The paper discusses a novel approach to identify and extract sentiment from unincorporated information, which is a critical sentiment measure for developing a holistic sentiment index, both in text analytics and in top-down quantitative models. Practitioners may use the methodology in the algorithmic trading models and conduct stock market research.

The purpose of this paper is to disentangle the effect of life equilibrium on organic food purchase intentions through a consideration of the evaluation of intrinsic and extrinsic food quality attributes. Furthermore, the study examines the role of health consciousness in achieving life equilibrium.

The conceptual framework was developed based on previous research and tested through a quantitative study with end consumers. The hypothesized relationships were tested using structural equation modelling.

The results obtained from this study show that the perceived quality associated with the intrinsic attributes of organic food mediates a positive influence of life equilibrium on consumers’ organic food purchase intentions. The study also confirms that life equilibrium mediates the effects of health consciousness on the evaluation of intrinsic and extrinsic food quality attributes.

The theoretical contributions of the paper lie in uncovering the complex relationships that exist among health consciousness, life equilibrium, perceived organic food quality dimensions and purchase intentions and providing new evidence showing which perceived intrinsic organic food quality dimensions are relevant in shaping consumers’ purchase intentions.

The research results suggest that organic food managers should focus on developing stronger value propositions that are based more on intrinsic food quality characteristics and less on extrinsic ones.

This study recognizes the relevance of life equilibrium as a specific consumer lifestyle form, which drives organic food consumption through extrinsic and intrinsic food quality attributes.

An Indian emerging market positioning taxonomy has been developed in response to the literature review's findings that existing positioning typologies/taxonomies are based on managerial perspectives rather than consumer/customer perceptions and are only developed for advanced countries.

This study employs a three-step process for developing and validating a scale in order to conduct its research. In the first phase, items are generated and selected based on a literature review, focus groups and expert opinion. Exploratory factor analysis is used to fine-tune the scale in the second phase. Phase 3 uses CFA to establish convergent, discriminant and nomological validity through the use of CFA.

A consumer-based taxonomy of positioning strategies were developed as a result of the research. Six distinct positioning strategies emerged that was named (1) Value for Money, (2) Functional (3) Premiumisation, (4) Promotional Campaign, (5) Brand Name (6) Visual Aesthetics.

Developing and validating measurement scales will be made easier with the help of this paper. Target populations, industry and geography selection and a cross-sectional time horizon are just a few of the study's drawbacks.

The study's practical implications include six factors/strategies that managers, advertising executives and marketing experts of consumer electronics companies in the Indian emerging market could use to position their products, resulting in the overall success of their organisations.

This study adds to the marketing literature by providing a solid theoretical foundation and a validated instrument for operationalising positioning strategies.