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This paper aims to (1) identify the different performance drivers (lead indicators) and outcome measures (lag indicators) investigated in the literature concerning the four balanced scorecard (BSC) perspectives in operations management (OM) contexts and (2) understand how performance drivers and outcome measures (and substantiated perspectives) are related.

We undertake a systematic literature review of the BSC literature in OM journals. From the final sample of 40 articles, performance drivers and outcome measures have been identified, and the relationships amongst them have been synthesised according to the system dynamics approach.

Findings show (1) the most relevant performance drivers and outcome measures within each BSC perspective, (2) their relationships, (3) how the perspectives are linked through the performance drivers and outcome measures and (4) how the different measures relate systemically. Accordingly, four causal loops amongst identified measures have been built, which – jointly considered – allowed for the creation of a dynamic strategy map for OM.

This study is the first one that provides a comprehensive and holistic view of how the different performance drivers and outcome measures within and between the four BSC perspectives in OM relate systemically, increasing the knowledge and understanding of scholars and practitioners.

The construct of meaningful work is a relevant topic for the managerial literature interested in job design, employees’ motivation, and job performance. The current research seeks to improve our knowledge on meaningful work by exploring the processes by which a workday is experienced as meaningful.

Adopting the lens of the Job Demands-Resources model and Self-Determination theory, we argue that work conditions and psychological conditions are associated with the experience of meaningful work on a daily basis. Moreover, we propose that the experience of meaningful work on a long-term basis (i.e. the evaluation of one’s own work as holding significance per se) intensifies the associations between daily conditions and the experience of meaningful work. We collected data via an event-based longitudinal diary study for a total sample of N = 114 employees from six organizations and N = 545 observations.

Results of the multilevel analysis showed that competence and task significance led to the experience of meaningful work during working days. Moreover, cross-level analyses revealed that these associations are stronger for employees who experience their work to be meaningful in the long-term.

The novelty of the present study lies in highlighting the role of specific factors contributing to the experience of meaningful work during a workday. These findings help specify targets and organizational and individual dimensions to be addressed by managerial interventions to ensure employees' meaningful work experience.

The paper studies types and mechanisms of vertical and horizontal multilevel institutional governance (IG) (multilevel governance [MLG]). The relation with exports is reviewed and quantified to attempt prioritizing institutional reforms fostering merchandise exports in Egypt.

The paper studies data (from 1996 till 2020) to estimate impact of IG on Egyptian merchandise exports using two autoregressive distributed lag (ARDL) models: to test the World Governance Index (WGI) composite index, followed by its main indicators; and to determine governance priorities in Egypt. “Institutional” approach is adopted to assess mechanisms boosting Egyptian exports. Design comprises three sections – (1) conceptual and literature review, (2) main MLG mechanisms and (3) key findings of empirical results – to find out which institutional reforms enhance exports competitiveness in Egypt.

Among MLG different levels of governance, the macro level is highly related to boosting exports competitiveness. Institutional differentials between countries and regions affect competitive edge. In Egypt, results show that IG priorities that could foster exports are the rule of law, regulatory quality, government effectiveness and political stability and absence of violence.

By adopting IG mechanisms, i.e. legislative, organizational and digital; and instruments, e.g. National Single Window, Time Release Standards and others, Egyptian exports could reach new heights.

Exports competitiveness does not rely solely on monetary and fiscal factors; IG dynamics could be more important in Egypt. ARDL model for Egyptian merchandise exports using WGI 2021 dataset.

This study aims to explore the connection between demographic traits and the choice of attraction patterns among international repeat tourists.

The study employed a questionnaire survey to collect data from 1550 international repeat tourists who visited Tanzania between November 2022 and July 2023. Convenient sampling was employed as tourists were selected from the three international airports of Tanzania, namely Kilimanjaro International Airport, Julius Nyerere International Airport, and Abeid Aman Karume International Airport. A multinomial logistic regression model was used to examine the impact of socio-demographic characteristics on the selection of attraction patterns among international repeat tourists.

The study revealed that demographic factors, including age, marital status, income level, occupation, and education level, exhibit statistically significant correlations with preferences for distinct attraction patterns. This significance was established through a p-value of less than 0.05 for all the aforementioned variables.

This study is primarily focused on international repeat tourists, thereby limiting insights into the preferences of domestic tourists. To better inform strategies aimed at attracting a larger domestic tourist base, future research may prioritize the investigation of choice of attractions patterns among domestic tourists in relation to their demographic characteristics.

This study contributes to the nuanced understanding of international tourist behavior by unraveling the extent to which demographic traits impact tourists’ choices of attraction patterns, thereby providing insights crucial for effective marketing strategies, improved visitor experiences, and sustainable tourism development strategies.