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This study is a theoretical debate on corporate entrepreneurship (CE) in the state government higher education institutions (HEIs) in Pakistan with a generally accepted conceptual model. The objective of the study is to measure the mediation effect of corporate entrepreneurship (CE) on the relationship between the structure, managerial strategy, culture, environment and organizational performance.

The inferential statistic is used in order to achieve the objective of this study. Pearson correlation and multiple regressions are used to analyze the findings. Pearson correlation is used to see any association between the independent variables which are structural factors, managerial factors, cultural factors, and environmental factors and the dependent variable which are organizational performance. The association enables the reader to identify whether there is any relationship between the variables. It showed the strength and direction of the relationship. Meanwhile, a regression test was done to identify the predictive ability of each variable towards the organizational performance construct and mediation.

This framework of corporate entrepreneurship in the public sector tertiary education sector may have some uncertain assumptions and statements inconsistent with previous research. Nonetheless, the research framework provides a starting point to develop a more applicable corporate entrepreneurship model to higher education management and enhance the quality of public entrepreneurship research.

Focusing the effect of mediation between the relationship of four determinant factors, and corporate entrepreneurship on the organizational performance of the schools/faculties of the state government higher education institutions in Pakistan provides some insights for to the schools/faculties' deans into how the integration of some strategies can help in creating the competitive advantage to enhance the overall performance.

The working paper is original in its kind that the framework is presented here is a contribution to the knowledge that fulfill the gap of enhancing performance in the state government higher education institutions in Pakistan by presenting an innovative entrepreneurial mindset.

This paper investigates how to design traditional ready-to-eat food packaging by manipulating its shape, font and slogan to promote consumer buying intention and willingness to pay (WTP).

Two package designs, interplaying the square shapes (vertical vs horizontal), font formality (formal vs less formal/casual) and slogans (ethno-positioning vs short and catchy), were created and tested in an online experiment with 483 participants.

The results revealed that the differed package designs elicited relatively equal levels of attractiveness to consumers and their buying intentions. However, the designs significantly differentiated consumers' WTP. The results further show the significant direct and indirect effects on WTP of packaging attractiveness when it is moderated by package designs and mediated by buying intention. However, the varied package designs did not have significant direct or indirect impacts on WTP when mediated by packaging attractiveness and buying intention.

The vertical square-shaped packaging, written in a less formal font and highlighting a short and catchy slogan, is more financially promising for marketers to get a better price for local food products perceived as hedonic and bought impulsively on casual occasions. Furthermore, besides prominent package design elements such as font, color, size, material and picture, packaging designers or marketing practitioners should consider other supporting factors, such as shelf efficiency.

This study complements existing studies of “cue utilization theory” and “packaging design theory” by demonstrating the importance of extrinsic packaging cues, such as shape, font style and slogan, in improving consumers' WTP for traditional food products. The study also fills some gaps in the literature by exploring the direct, mediating and moderating relationships between package design, packaging attractiveness, buying intention and WTP, especially in an emerging market such as Indonesia.

This paper examines the effect of the holy month of Ramadan on the returns and conditional volatility of cryptocurrency markets.

The closing prices of six cryptocurrencies have been considered. The study employs different classical tests for checking if the efficiency behaviour is similar during Ramadan celebration days and non-Ramadan days. Besides, dummy variable regression technique for assessing this anomaly on returns and volatilities has been applied.

Although no significant effect on returns and volatility for Litecoin has been found, the results provide evidence about the existence of the Ramadan effects in cryptocurrency markets. The results of the mean equations show the existence of Ramadan effect for Ethereum, Ripple, Stellar and BinanceCoin for all considered models. Significant effect on Bitcoin returns is found with an autoregressive model of order 1. The results of conditional volatility show Ramadan effect on volatility is not detected.

First, a new contribution in the incipient study of cryptocurrency analysis. Second, a comprehensive review of recently published empirical articles about Ramadan effect on traditional assets has been carried out. Third, unlike most of the papers focussed on the study of Bitcoin, this study has been extended to six cryptocurrencies. Ramadan effect have not been analysed in cryptomarkets yet. This study come to fill this gap and analyses Ramadan effect, previously documented for traditional assets, in particular, stock index from Muslim countries, but not yet analysed in the cryptocurrency markets.

Food delivery applications (FDAs) are becoming more and more well-liked across Generations X, Y and Z, with Asia experiencing the biggest growth. These three generations of consumers have distinct views toward using FDAs because they were influenced by various social environments, cultures and experiences. Therefore, marketers ought to present customers with various values. The purpose of this study is to investigate how the theory of consumption values (TCV) affects the intention of various generational cohorts to continued usage intentions.

Online surveys were distributed to 745 Thai customers who had previously ordered meals from FDAs to collect information. The data were analyzed using partial least squares structural equation modeling and multigroup analysis.

Results reveal that there are significant differences among Generations X, Y and Z, while emotional value is insignificant. Generation X is concerned about functional and conditional value, whereas Generation Y expresses the highest concern on epistemic and social value. Meanwhile, Generation Z pays attention to epistemic, functional and social value.

The novelty of this study contributes to TCV affecting the different FDAs consumption value among Generations X, Y and Z, while the previous research only focused on gender and age difference, and this study firstly combines FDAs with TCV to predict the consumers’ intention to continuously use FDAs in the post-COVID-19 outbreak.

The present study intends to discover and analyze the determinants of users' intention to use (ITU) drone-based online food delivery (OFD) services. The study mainly focuses on the drone-based food delivery system in India and its implications.

This study has used the purposive sampling method. With the support of the technology acceptance model (TAM) and the theory of planned behavior (TPB), a theoretical model was developed conceptually. Later, the model was validated using the partial least square-structure equation modeling (PLS-SEM) technique with consideration of 324 responses mainly from university students in Delhi- National Capital Region (NCR).

The findings reveal that all the determinants are positively and significantly related to ITU, except for perceived behavioral control that does not influence the consumer’s ITU drone-based OFD services. The study also shows that how food delivery system through drone can revolutionize the entire food delivery system in India.

The present study has developed a unique model that can be used by practitioners, future researchers in this field and policymakers in government departments. The present study is limited to Delhi-NCR in India, and thus, there is an issue of generalizability in the present study.

This study has examined the future of food delivery system through drone-based system. Thus, the leaders in the food industry will be better positioned to understand consumers' intentions to use OFD services using drones and be able to make more informed decisions about investment in drone technology in their respective organizations.

The present study has combined both the technology adoption model and the TPB and developed a theoretical model. The study enriches the literature on drone-based OFD services. Since users' acceptance of OFD services using drones is an under-researched area, the present study will make a meaningful contribution to bring the body of literature in this domain.

This paper aims to investigate the relationship between global economic fluctuations and human development through four transmission channels (foreign direct investment (FDI), official development aid (ODA), remittances and export earnings) in Egypt as an open developing economy, in the period 1990–2015.

The paper uses a vector autoregressive model, which implies examining the impulse response functions and variance decompositions.

The results indicate that human development is negatively affected by global economic fluctuations through the four channels, namely, ODA, FDI, export earnings and remittances. In addition, the most effective transmission channels are FDI in the short run and export earnings in the long run.

While a large body of literature addresses the direct impact of business cycles and economic shocks on human development, only some studies focus on the indirect impact. The contribution is to identify the indirect impact of global economic fluctuations on human development in a developing economy, considering four transmission channels and to determine the most important of these channels. Moreover, using the human development index is an addition in this paper as most previous literature depends on other human development indicators such as children’s health, employment and schooling.