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The rapid growth in cruise shipping coupled with increasing public awareness of climate change has led to increasing concerns about the impact cruise shipping poses on the environment, especially regarding air emissions. This study analyses the cruise shipping network of ports in and around the emission control areas (ECAs) to understand the structural properties of the network and ports.

A complex network approach was used to analyse the network data of 239 voyages serviced by 14 international cruise lines, visiting 127 ports across 44 countries in the Caribbean Sea.

It is found that the network has a small-world property with a short average path length and a high clustering coefficient. The regulations affect connections among ports, in which most ports in ECAs have lower connections than ports outside ECAs. A few ports in ECAs play important key roles, but many ports outside ECAs play a more important role in the network because the regulations are barriers for cruise ships entering the ports.

The findings of this study have drawn useful guidelines for cruise lines and port authorities to improve their operations. Constrictive recommendations are suggested to policymakers for designing reasonable regulations to attract more cruise shipping to travel in ECAs.

Nowadays, star athletes are global brand personalities. The increased popularity of the professional sport has contributed to elevating exceptional athletes to international star status. This empirical study aims to assess the impact of athlete performance and brand social value on product involvement with the mediation effect of celebrity athlete endorsement.

A quantitative survey was conducted with 399 Chinese participants. PLS-SEM is adopted to examine the associated paths and the mediating effect of celebrity endorsement.

The results demonstrate the significant impact of athlete performance and brand social value on product involvement. Celebrity endorsement partially mediates the effects of athlete performance and brand social value on product involvement.

This study extends understanding of celebrity athlete endorsement and provides insight into the strategic implications for Chinese social media-based marketing initiatives in the context of the recent Olympic Game in Tokyo 2021.

Intrapreneurship (IP) and Strategic Human Resource Management (SHRM) are a paradigm in which the current global scenario of increased homeoffice and professional globalization can have the capacity to stimulate professionals’ autonomy and new business orientations able to re-invent new strategies, services, technologies and even leadership development. This study, of an exploratory nature, aims to analyze the synchronicities between IP and SHRM, raised by relational dynamics translated into leadership, organizational culture and individual practices having as a facilitating factor technology as an agent of change for continuous improvement (based on the Kaizen philosophy). It is supported by a qualitative analysis through a case study of a leading Portuguese group, Grupo Salvador Caetano, which has been in existence for 75 years.

The results demonstrate that dynamic relations are the synchronicities of IP and SHRM as long as stimulated and transmitted to collaborators, and that technology, facilitated these processes. The flexibility of SHRM, the sequence of delegation and implementation of relational dynamics must be the key for the synchronicities of SHRM and IP to be two phenomena that go side by side and contribute to more effective performance and evolution among collaborators, as they support each other in creating firms’ value for customers. Some contributions to theory and practice, raised through a logic of “in-house entrepreneurship,” are also presented at the end of the study.

According to Associated Chambers of Commerce and Industry of India (ASSOCHAM), the size of the Indian online retail industry is INR 2000 crore and the industry is projected a steady annual growth rate of 35 per cent to reach INR 7000 crore by 2015. Given the growing importance of the online retail industry in India, it remains imperative for web retailers and internet marketers to understand the determinants of online customers' purchase intention to decipher what is important to the Indian online customer. This paper attempts to identify the determinants of online purchase intention among youth in the Indian context.

Based on a detailed literature review, customer online purchase intention shopping orientation factors such as impulse purchase orientation, brand orientation and quality orientation were considered along with online trust and prior online purchase experience. The results are based on 95 valid responses received from the online survey.

The research established that impulse purchase orientation, prior online purchase experience and online trust have significant impact on the customer purchase intention. Males are found to have more intention to shop online than females.

A bigger and more representative sample which includes respondents from all walks of life would have been appropriate though the internet savvy students contribute the major share of online buyers.

The study has implications for web‐retailers, marketing managers, internet marketers, online vendors and web‐shoppers in India. Indian online shoppers typically tend to seek offers and great value price deals instead of brand or quality. Online retailers may target the impulse purchase orientation nature of Indian consumers and should focus on increasing online trust.

In the Indian context, this is the first time shopping orientations have been studied with customers' online purchase intentions.

The Reynolds-averaged Navier–Stokes (RANS) equations represent the computational workhorse for engineering design, despite their numerous flaws. Improving and quantifying the uncertainties associated with RANS models is particularly critical in view of the analysis and optimization of complex turbomachinery flows.

First, an efficient strategy is introduced for calibrating turbulence model coefficients from high-fidelity data. The results are highly sensitive to the flow configuration (called a calibration scenario) used to inform the coefficients. Second, the bias introduced by the choice of a specific turbulence model is reduced by constructing a mixture model by means of Bayesian model-scenario averaging (BMSA). The BMSA model makes predictions of flows not included in the calibration scenarios as a probability-weighted average of a set of competing turbulence models, each supplemented with multiple sets of closure coefficients inferred from alternative calibration scenarios.

Different choices for the scenario probabilities are assessed for the prediction of the NACA65 V103 cascade at off-design conditions. In all cases, BMSA improves the solution accuracy with respect to the baseline turbulence models, and the estimated uncertainty intervals encompass reasonably well the reference data. The BMSA results were found to be little sensitive to the user-defined scenario-weighting criterion, both in terms of average prediction and of estimated confidence intervals.

A delicate step in the BMSA is the selection of suitable scenario-weighting criteria, i.e. suitable prior probability mass functions (PMFs) for the calibration scenarios. The role of such PMFs is to assign higher probability to calibration scenarios more likely to provide an accurate estimate of model coefficients for the new flow. In this paper, three mixture models are constructed, based on alternative choices of the scenario probabilities. The authors then compare the capabilities of three different criteria.

This paper aims to examine the risk premium for investors in a changing information environment in the Taiwan, New York and London real estate markets from March 2006 to November 2014. This study attempts to quantify behavioral expectations regarding (or motivation for) investment in the Taiwanese real estate in a changing information environment.

This paper uses the rolling generalised autoregressive conditionally heteroskedastic in mean (GARCH-M) methodology which fixes the problem of conventional GARCH-M methodology.

Empirical evidence suggests that the time-varying risk premium changed for the Taiwan real estate market with a new information set. The risk premium changed from 1.305 per cent per month to −7.232 per cent per month. The study also found persistent volatility shocks from March 2006 to November 2014. No such evidence was found for the New York and London real estate markets. Overall, this study finds evidence of a time-varying risk premium, partly explainable by governmental policies and partly unexplainable.

The use of the index of Standard and Poor’s Taiwan Real Estate Investment Trusts to study the Taiwan real estate industry may have aggregation effects in result.

The present study will provide guidance to investors as well as policymakers regarding the Taiwan real estate market.

This study uses the rolling GARCH-M model, which is a first for the Taiwan real estate market.

We study the decision-making process behind business model change, focusing specifically on the tactics managers employ to gain support for such changes. We first argue for the prominent role of middle management in business model change, and second, we revisit the literature on issue selling and championing as they may apply to business model change decision-making. We subsequently analyze the case of a business model change initiative in the Dutch water authority sector, revealing two specific tactics that middle management employed to obtain top management’s agreement to business model change: leveraging external agreements and continuously informing top management. We discuss how these findings extend and in some ways suggest a rethink of the literature on organizational change. Finally, we describe the specificities of business model change that distinguish it from other types of change. In sum, this paper demonstrates the interest of research at the nexus of business models and organizational change.

The consumer-based study was conducted among the population of Kolkata metropolis to assess the impact of corporate social responsibility (CSR) practices on the purchase intention of selected cooking oil brands.

Data were collected from a questionnaire based survey on 322 respondents residing in Kolkata metropolis. Reliability of the scales was ascertained by Cronbach’s alpha values. Kendall's W test was used for rank analysis. Pearson’s correlation was examined to correlate the cognitive criteria. Factor analysis was used to sort out influential cognitive criteria which were compared between genders by the Kruskal–Wallis H test. The involvement of CSR components in enhancing the brand equity was analysed by multiple linear regression.

The brands vouching for the cause of health and nutritional value of the society attained significant loyalty and generate considerable brand association. The regression model predicts a socially accepted cooking oil brand to be one which addresses health, transparency and ethics in unison.

The study was restricted within the resident population of Kolkata metropolis which ratifies the CSR perception of a confined mass.

The study delineates the plausible avenue of CSR investments to touch the cognitive centre of the consumers’ mind.

The consumers expect to embrace a healthy yet reasonably priced cooking oil brand which imparts a notion to address multiple social causes.

The study identifies the strategic CSR attributes which might influence the mind of the consumers while they select cooking oil brands for household use.

The motivation for this study is to understand the stressful situations leading to great resignation and evaluate the cognitions of psychological attachment (PA) and organizational attractiveness (OA) to mitigate this crisis, using the attachment theory as the theoretical basis.

A cross-sectional study was conducted on individuals employed in Indian organizations (Nifty 50) to identify the most impactful cognitions underlying the dynamics between person–job fit (P-J fit) and the intention to stay (ITS).

This study highlighted that a serial mediation relationship between PA (specifically “internalization”) and OA is influenced by the P-J “needs–supplies” fit, particularly during extraordinarily stressful times. Managers must re-emphasize PA and OA as core organizational resources that must be prioritized, maintained and refined to reinforce employees' intent to stay in their organizations.

No research has studied P-J fit, PA, OA, underpinned by the attachment theory to reinforce the ITS given the context of the great resignation triggered by the pandemic's extraordinarily stressful situation.