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The present study aims to investigate the relationship between innovative leadership and sustainable performance in the education sector. The present study also tested the moderation role of personality traits agreeableness, extraversion, emotional stability, conscientiousness and openness in the relationship.

Data for the present study were collected from 209 university teachers. The employed sampling technique was convenience, and the sample size was calculated through the Kerjis–Morgan method. Furthermore, a survey method using a questionnaire was used in this study. For the data analysis, SPSS and SmartPLS were used.

The present study found that innovative leadership has a significantly positive relationship with sustainable performance. Results also confirmed the moderating effects of personality traits such as agreeableness, extraversion, emotional stability, conscientiousness and openness.

The relationship between innovative leadership and sustainable performance for the first time in the education sector’s context. Secondly, this study contributed to the moderating role of personality traits such as agreeableness, extraversion, emotional stability, conscientiousness and openness between innovative leadership and sustainable performance, which was a yet-to-explored phenomenon. The study model was tested through the combination of the big five-factor model and the theory of planned behaviour, which is another novelty of the study.

The aim of this paper is to develop and test a behavioral theory of chief executive officer (CEO) succession and its performance consequences in family firms. Building upon performance feedback and slack research, the study hypothesizes that the effect of selecting a non-family outsider CEO on post-succession firm performance is contingent upon pre-succession firm performance aspirations level and the available slack resources.

The hypotheses are tested using a panel of 430 CEO successions in Italian family firms.

The findings show that a non-family outsider CEO is particularly valuable when performance resides far below aspiration levels, and there is a high availability of slack resources.

The study provides novel insights of the benefits and drawbacks of selecting non-family outsider CEOs offering behavioral-based theoretical explanations of performance consequences of CEO successions.

This study aims to investigate the influence of resource slack on the decline of Brazilian companies, with a particular focus on the moderating role of environmental dynamism. The authors specifically examine three types of resource slack: available, potential and recoverable. These represent surplus resources that exceed what is necessary for the organization’s basic operations. The role of environmental dynamism, characterized by rapid changes in customer preferences, technologies and competitive dynamics, is considered as a moderating factor in this relationship.

The authors used data from Brazilian companies spanning from 1997 to 2008. The research sample was composed using the matching-pairs method, which included a group of publicly traded companies that experienced decline (43 companies) and a group that did not (40 companies) within the specified timeframe.

Findings of this study indicate that the presence of available slack, being more liquid resources, decreases the likelihood of organizational decline. Furthermore, the moderation effect of potential resource slack can mitigate decline in companies operating in dynamic industries.

This research provides valuable insights into the impact of slack resources on potential organizational turnarounds. Given the relative scarcity of resources in these companies compared to those in developed countries, whether they be financial, human or technological, the study highlights the unique influence of slack in a less explored institutional environment. This research underscores the importance of examining the decline of Brazilian companies from a broader perspective, emphasizing that decisions regarding resource use can have significant implications on a company’s trajectory, either amplifying or mitigating its decline.

¿Cuál es el impacto del slack de recursos en el declive de grandes empresas brasileñas? Para responder a esta pregunta, hemos probado hipótesis por separado para tres tipos de salck de recursos: disponible, potencial y recuperable. Estos excedentes consisten en recursos en exceso más allá de lo necesario para mantener la organización funcionando.

Desarrollamos un estudio empírico cuantitativo y longitudinal con datos de empresas brasileñas de 1997 a 2008. Adoptamos el método de pares emparejados, componiendo la muestra de investigación con un grupo de empresas cotizadas en bolsa que declinaron (43 empresas) y otro que no declinó (40 empresas) en el período de tiempo.

Encontramos que la disponibilidad de recursos más líquidos reduce la posibilidad de declive. El efecto de moderación en el slack de recursos potenciales para empresas en industrias dinámicas puede mitigar el declive.

Esta investigación contribuye a una mejor comprensión del efecto del excedente en posibles recuperaciones. Extender los estudios de recursos excedentes al contexto de empresas brasileñas mostró la influencia que el excedente ejerce en un ambiente institucional relativamente menos explorado. Ya sea financiero, humano o tecnológico, la escasez de recursos es más pronunciada que en empresas de países desarrollados. Esta investigación llama la atención sobre el hecho de que la declinación de empresas brasileñas se analiza desde una perspectiva más amplia. Las decisiones sobre cómo la empresa usa sus recursos pueden afectar positiva o negativamente la declinación de las empresas, reforzando la importancia de discutir esta relación.

A Qual é o impacto da folga de recursos no declínio de grandes empresas brasileiras? Para responder a essa pergunta, testamos hipóteses separadamente para três tipos de folga de recursos: disponível, potencial e recuperável. Essas folgas consistem em recursos além do necessário para manter a organização funcionando.

Desenvolvemos um estudo empírico quantitativo e longitudinal com dados de empresas brasileiras de 1997 a 2008. Adotamos o método de pares combinados, compondo a amostra de pesquisa com um grupo de empresas de capital aberto que declinaram (43 empresas) e outro que não declinou (40 empresas) no período.

Descobrimos que a disponibilidade de recursos mais líquidos reduz a possibilidade de declínio. O efeito moderador na folga de recursos potenciais para empresas em indústrias dinâmicas pode mitigar o declínio.

Esta pesquisa contribui para uma melhor compreensão do efeito da folga sobre possíveis recuperações. A extensão dos estudos de folgas de recursos para o contexto de empresas brasileiras mostrou a influência que a folga exerce em um ambiente institucional relativamente menos explorado. Seja financeiro, humano ou tecnológico, a escassez de recursos é mais pronunciada do que em empresas de países desenvolvidos. Esta pesquisa chama a atenção para o fato de que o declínio de empresas brasileiras é analisado sob uma perspectiva mais ampla. Decisões sobre como a empresa usa seus recursos podem afetar positiva ou negativamente o declínio das empresas, reforçando a importância de discutir essa relação.

Computer-Assisted Learning in Pediatrics Program (CLIPP) and National Board of Medical Examiners Pediatric Subject Examination (NBMEPSE) are used to assess students’ performance during pediatric clerkship. International Foundations of Medicine (IFOM) assessment is organized by NBME and taken before graduation. This study explores the ability of CLIPP assessment to predict students’ performance in their NBMEPSE and IFOM examinations.

This cross-sectional study assessed correlation of students’ CLIPP, NBMEPSE and IFOM scores. Students’ perceptions regarding NBMEPSE and CLIPP were collected in a self-administered survey.

Out of the 381 students enrolled, scores of CLIPP, NBME and IFOM examinations did not show any significant difference between genders. Correlation between CLIPP and NBMEPSE scores was positive in both junior (r = 0.72) and senior (r = 0.46) clerkships, with a statistically significant relationship between them in a univariate model. Similarly, there was a statistically significant relationship between CLIPP and IFOM scores. In an adjusted multiple linear regression model that included gender, CLIPP scores were significantly associated with NBME and IFOM scores. Male gender was a significant predictor in this model. Results of survey reflected students’ satisfaction with both NBMEPSE and CLIPP examinations.

Although students did not perceive a positive relationship between their performances in CLIPP and NBMEPSE examinations, this study demonstrates predictive value of formative CLIPP examination scores for their future performance in both summative NBMEPSE and IFOM. Therefore, students with poor performance in CLIPP are likely to benefit from feedback and remediation in preparation for summative assessments.

The purpose of this study is to examine the factors influencing the adoption and utilization of the online examination portal (OEP) in Indian universities. This study combines the Unified Theory of Acceptance and Usage of Technology (UTAUT) and Task Technology Fit (TTF) to explain the user's intention to use an OEP at an Indian University.

This study's methodology combines UTAUT as a theoretical framework with TTF. It is conceptualized that TTF has a moderating effect on UTAUT's primary construct. The authors collected the data from 182 graduate students from an Indian university. PLS-SEM is used to identify the causal relationship between the constructs using the structural equation modeling (SEM) technique.

The findings will demonstrate the applicability of the constructs of performance expectancy, effort expectancy and facilitating conditions in influencing the usage intention and behavior of students towards OEP. The outcome will also demonstrate the moderating effect of TTF on the predictors of intention to use OEP at an Indian University.

The sample respondents who participated in the study are students at the Indian University in Pune. The selection of samples was based on convenience sampling. Future research should be conducted at a variety of geographic locations, educational levels, undergraduate and graduate schools, as well as multiple universities. To increase the objectivity of sample selection, the probabilistic sampling method can be used to select samples. For future studies, larger sample sizes (more than 182) can be collected in order to increase the generalizability and applicability of the findings to other developing markets.

The study will aid Indian universities in enhancing the effectiveness of OEP. The study will also demonstrate the users' perception of the portal and their willingness to use it. It will also assist the university administration in finalizing the examination portal's implementation strategy.

Very few studies have been published on the factors influencing the acceptance and utilization of specific online examination systems. To address this underrepresentation, the current article investigates the factors and criteria that influence students' intent to use the OEP. The authors conceptualize the model using UTAUT as a theoretical foundation, which is absent from the published literature on the OEP. The study incorporated UTAUT and TTF to determine the impact on OEP usage and intent. In addition, the study contributes by testing the moderating effect of TTF on the UTAUT variables that influence the intention to use OEP.

This paper proposes a model for detecting unexpected examination scores based on past scores, current daily efforts and trend in the current score of individual students. The detection is performed soon after the current examination is completed, which helps take immediate action to improve the ability of students before the commencement of daily assessments during the next semester.

The scores of past examinations and current daily assessments are analyzed using a combination of an ANOVA, a principal component analysis and a multiple regression analysis. A case study is conducted using the assessment scores of secondary-level students of an international school in Japan.

The score for the current examination is predicted based on past scores, current daily efforts and trend in the current score. A lower control limit for detecting unexpected scores is derived based on the predicted score. The actual score, which is below the lower control limit, is recognized as an unexpected score. This case study verifies the effectiveness of the combinatorial usage of data in detecting unexpected scores.

Unlike previous studies that utilize attribute and background data to predict student scores, this study utilizes a combination of past examination scores, current daily efforts for related subjects and trend in the current score.

To improve the academic integrity of online examinations, digital proctoring systems have recently been implemented in higher education institutions (HEIs). The paper aims to understand how digital proctoring has been practised in higher education (HE) and proposes future research directions for studying digital proctoring in HE.

A systematic literature review was conducted. The PRISMA procedure was adapted for the literature search. The topics were identified by topic modelling techniques from 154 relevant publications in seven databases.

Seven widely discussed topics in literature were identified, including solutions for detecting cheating and student authentication, challenges/issues of uptakes and students' performance in different proctoring environments.

This paper provides insights for academics, policymakers, practitioners and students to understand the implementation of digital proctoring in academia, its adoption by HEIs, impacts on students' and educators' performance and the rapid increase in its use for digital exams in HEIs, with particular emphasis on the impacts of the systems on digitalising examinations in HE.

This review paper has systematically and critically described the state-of-the-art literature on digital proctoring in HE and provides useful insights and implications for future research on digital proctoring, and how academic integrity in online examinations can be enhanced, along with digitalising HE.

Firm performance remains at the heart of strategic management. In the quest to refine the field’s contribution, Venkatraman and Ramanujam (1986) argued that reliance upon single measures of firm performance is risky and firm performance should be treated as a multidimensional construct. Subsequently, researchers have examined trends in firm performance measurement ever since. Over a decade since the last examination of this issue, this study aims to add to the ongoing conversation.

The authors investigated 1,972 research papers published in five premier management journals for the years 2015–2019 to determine if multidimensional measurement of firm performance has improved.

The findings suggest that approximately two-thirds of papers that measure firm performance are published using only a single measure of firm performance, and approximately three-fourths do not measure firm performance across multiple dimensions.

This study contributes to the literature by emphasizing the necessity to consider the dimensionality of firm performance, use multiple measures and consistently ground firm performance variables with theory – especially control variables – to keep firm performance as the focus of the strategy field. Evidence and implications are discussed and recommendations for researchers and reviewers are provided.

The purpose of this study is to generate knowledge about assessment methods in blended business education, which have become increasingly important to establish sustainable assessment practices that support knowledge acquisition for undergraduate students in business administration at a Colombian university.

For the analysis, a two groups comparison was performed using a nonequivalent control group design with a sample of 420 students. As this study wants to find insights to improve the knowledge on assessment topics in marketing research (MR) education, it was focused on the students from the business administration program. This study also uses individual scores from the state test as prior cognitive scores and the high school classification provided by the National Ministry of Education in Colombia (2012).

It was found that the variables that best predict performance on the MR course examinations were the mathematics skills and reading comprehension scores on the state test. The study also showed a better performance of female students on both assessment methods. There were no significant differences between the assessment methods or among the high school levels.

One of the limitations of this study is the limited number of items on the tests. Additionally, the authors recommend conducting an analysis of the differences between the testing items to provide a detailed explanation of students’ performance when comparing computer-based testing and paper-and-pencil testing.

Further design of teaching material and assessments online and offline, based on local and regional marketing problems, is suggested. As the current text and readings are more oriented to the English-speaking contexts, most of the problems presented are oriented to multinational companies and brands.

Insights into the skills required for future jobs provide valuable guidance (World Economic Forum, 2020). Essential skills for emerging roles, like data scientists, can find robust support within the MR course. To further enrich in-class and online exercises with Excel and SPSS, Colombian educators can leverage data sets obtained from sources like the national statistics office and international market intelligence databases available through the university’s library, including Passport and Statista. Engaging with authentic data sets provides students with a more profound understanding of practical applications in MR.

This approach facilitates the identification of key variables, such as assessment and cognitive abilities in math and reading, which predict students’ knowledge acquisition in MR. It not only offers insights into the relevant factors influencing learning in MR but also provides valuable feedback. Additionally, it suggests potential avenues for future research in this field.

The purpose of this study is to simultaneously investigate a comprehensive analysis of the extent to which strategic orientations, namely, imitation and innovation orientations, and knowledge management affect firm performance.

Drawing on the theoretical frameworks of the resource-based view and dynamic capability theory, this scholarly inquiry has proposed a comprehensive framework that delineates the relationships amongst imitation, innovation, absorptive capacity (ACAP), innovation performance and financial performance. To scrutinize the proposed research model, bootstrap routines were used through Smart partial least squares to estimate the procedures. To collect the necessary data, a questionnaire and financial statements were acquired from a sample of 100 Iranian firms listed on the Tehran Stock Exchange. The findings of the study have important implications for both scholars and practitioners seeking to enhance firm performance through the effective utilization of imitation, innovation and ACAP.

The results indicate that imitation activities have directly led to the improvement in innovation performance, even in the presence of innovation and ACAP. However, the relationship has not been confirmed by financial performance.

Imitation and innovation orientations have been identified as pivotal strategic orientations that can significantly affect firm performance. As far as the authors know, this investigation represents the first comprehensive examination of both imitation and innovation activities as a critical transition in emerging markets (EMs) characterized by complex economies, such as Iran. The findings may aid firms in enhancing their performance by providing insight into the strategic importance of imitation and innovation orientations in EMs.