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Design teams have difficulties in assessing building carbon emissions at an early stage, as most building energy simulation tools require a detailed input of building design for estimation. The purpose of this paper is to develop a user-friendly regression model to estimate carbon emissions of the preliminary design of office buildings in the subtropics by way of example. Five sets of building design parameters, including building configuration, building envelope, design space conditions, building system configuration and occupant behaviour, are considered in this study.

Both EnergyPlus and Monte Carlo simulation were used to predict carbon emissions for different combinations of the design parameters. A total of 100,000 simulations were conducted to ensure a full range of simulation results. Based on the simulation results, a regression model was developed to estimate carbon emissions of office buildings based on preliminary design information.

The results show that occupant density, annual mean occupancy rate, equipment load, lighting load and chiller coefficient of performance are the top five influential parameters affecting building carbon emissions under the subtropics. Besides, the design parameters of ten office buildings were input into this user-friendly regression model for validation. The results show that the ranking of its simulated carbon emissions for these ten buildings is consistent with the original carbon emissions ranking.

With the use of this developed regression model, design teams can not only have a simple and quick estimation of carbon emissions based on the building design information at the conceptual stage but also explore design options by understanding the level of reduction in carbon emissions if a certain building design parameter is changed. The study also provides recommendations on building design to reduce carbon emissions of office buildings.

Limited research has been conducted to date to investigate how the change of building design affects carbon emissions in the subtropics where four distinct seasons lead to significant variations of outdoor temperature and relative humidity. Previous research also did not emphasise on the impact of high-rise office building designs (e.g. small building footprint, high window-to-wall ratio) on carbon emissions. This paper adds value by identifying the influential parameters affecting carbon emissions for a high-rise office building design and allows a handy estimate of building carbon emissions under the subtropical conditions. The same approach may be used for other meteorological conditions.

Motivating users to self-disclose online is significant to the long-term development of social media. Therefore, research on emotional disclosure, a significant form of self-disclosure, is required. By developing a stimulus-organism-response model, this study aims to investigate the mechanisms by which the social media environment affects users' online emotional disclosure.

This paper proposes two dimensions of social media environments, the online interpersonal environment (tie strength and network size) and the online information environment (self-reference). They are hypothesized to stimulate users' internal psychological needs (image management and emotional expression) which in turn will influence their emotional disclosure intentions. Using data from 489 users of WeChat Moments, the authors conduct partial least squares analysis to validate the research model.

The findings show that users' intrinsic psychological needs are stimulated by social media environments, but network size is not correlated with the need for emotional expression. The user's need for emotional expression promotes both positive and negative emotional disclosure intentions. The need for image management has a positive impact on positive emotion disclosure intentions but has a negative impact on negative emotion disclosure intentions.

This study contributes to the understanding of online emotional disclosure. It can also help social media managers create efficient plans to encourage users to create content.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2022-0245.

In the past few years, several capability indices have been developed for evaluating the performance of multivariate manufacturing processes under the normality assumption. However, this assumption may not be true in most practical situations. Thus, the purpose of this paper is to develop new capability indices for evaluating the performance of multivariate processes subject to non-normal distributions.

In this paper, the authors propose three non-normal multivariate process capability indices (MPCIs) RNMC _p , RNMC _pm and RNMC _pu by relieving the normality assumption. Using the two normal MPCIs proposed by Pan and Lee, a weighted standard deviation method (WSD) is used to modify the NMC _p and NMC _pm indices for the-nominal-the-best case. Then the WSD method is applied to modify the multivariate ND index established by Niverthi and Dey for the-smaller-the-better case.

A simulation study compares the performance of the various multivariate indices. Simulation results show that the actual non-conforming rates can be correctly reflected by the proposed capability indices. The numerical example further demonstrates that the actual quality performance of a non-normal multivariate process can properly reflected by the proposed capability indices.

Process capability index is an important SPC tool for measuring the process performance. If the non-normal process data are mistreated as a normal one, it will result in an improper decision and thereby lead to an unnecessary quality loss. The new indices can provide practicing managers and engineers with a better decision-making tool for correctly measuring the performance for any multivariate process or environmental system.

Once the existing multivariate quality/environmental problems and their Key Performance Indicators are identified, one may apply the new capability indices to evaluate the performance of various multivariate processes subject to non-normal distributions.

Du Bois's interest in the Japanese empire points us in the direction of examining non-Western imperial policies and discourses and how they relate to racialization. For Du Bois, Japan was an exemplar of a nonwhite empire. This chapter reconstructs a Du Boisian conception of race that identifies it closely with ethnicity, against the belief that the African-American intellectual held on to a merely biological conception of race. I argue that his thought evolved towards a social-construction approach in which race must be understood historically and in particular global contexts. By analyzing Japan's policies and discourses around the boundaries of the Japanese, I explicate how Japan carried out a process of self-racialization owing to its dialectical relationship with the West. It also racialized its colonial subjects in a process of in-group delineation according to Japan's imperial imperatives. The case of the Japanese empire demonstrates how a global/transnational approach to racialization is valuable. It also evinces how white supremacy and universalism are not the only logics of imperialism. Moreover, it shows that Du Bois believed white supremacy could be transcended. However, Du Bois was too idealistic about Japan's empire, ignoring how oppressive nonwhite imperial rulers can be toward their subjects even when there are phenotypical similarities between them.

The purpose of this study is to identify across a number of workplace variables the similarities and differences in attitudes between three key frontline hotel worker groups: housekeepers, front office employees and food and beverage front-of-house staff.

A qualitative study was conducted using 25 semi-structured interviews with frontline workers employed in full-service hotels across Eastern Australia. Analysis was augmented through the Leximancer® software package to develop relational themes in the aggregation and disaggregation of the occupations.

Although work/life balance was a common theme across the three occupations, several distinct attitudinal differences emerged, in particular regarding perceptions of one occupational group towards another.

This study highlights the importance of hotel managers being cognisant of occupational differences and collecting data capable of assisting in the identification of these differences. Several practitioner relevant recommendations are made.

This exploratory study challenges assumptions regarding a “pan-industrial” hospitality occupational community and applies an emerging qualitative software package to highlight occupational differences and relational perceptions.

The purpose of this paper is to explore the relationship between multivariate process capability indices and loss functions for both nominal‐the‐best and smaller‐the‐better cases, so the likelihood and consequences resulting from the nonconforming of a manufacturing process or an environmental system can be evaluated simultaneously.

In this paper, the authors present a new approach of correlated risk assessment by linking the multiple process capability indices and loss functions, in which the multivariate process capability indices and multivariate loss functions describe the likelihood and consequences as a result of nonconformities in multivariate manufacturing or environmental system, respectively. Then, the associated relationship equations are developed using multivariate methods. Moreover, a step‐by‐step procedure is provided to facilitate the implementation of the correlated risk assessment.

Given the multivariate process capability indices, the authors show that the expected loss can be estimated by developed relationship equations and two numerical examples are also given, to demonstrate how the correlated manufacturing and environmental risks can be properly assessed by linking the multivariate process capability indices and multivariate loss function.

The risk information of likelihood and expected loss, classified in the four planning zones of a strategic planning matrix, provides practising managers and engineers with a decision‐making tool for prioritizing their quality improvement projects when conducting risk assessment for any multivariate process or environmental system.

Once the existing quality/environmental problems and their Key Performance Indicators are identified, one may conduct risk assessment by applying the relationship equations to evaluate the impact of correlated risk on manufacturing processes or multiple environmental emissions inside company; this can lead to the direction of continuous improvement for any industry.

The importance of alignment of enterprise resource planning (ERP) implementation for organizational strategies has been widely recognized. However, ERP implementation in the context of new ventures has not yet been convincingly demonstrated. Furthermore, how to align ERP implementation with organizational development in new ventures deserves further examination as new ventures are in the emergency or early growth stage and thus have distinct concerns in adopting ERP. Against this background, the main purpose of this paper is to explore how ERP implementation can facilitate the organization development of new ventures.

This study adopts an in‐depth case study method for gathering and analyzing data. The case research strategy allows the exploration of unforeseen phenomena and offers insights into the inter‐dependencies among the factors captured in the study. It is believed that case study research will be most appropriate in gaining in‐depth knowledge of the practices of ERP implementation in new venture development.

Drawing on an in‐depth case study from a Taiwanese IC design house, this study shows that, to leverage the value of ERP system, the implementation should consider the firm's growth stages, the unique industrial characteristics, the influences from the business group, and the alignment of the internal control and audit function, corporate governance, and information technology governance.

The findings of this study contribute to the literature on ERP implementation and organization development in new ventures. The implications and future research directions are also discussed.

This single case study has provided valuable insights into the practice of ERP implementation. Furthermore, data analysis of this study provides a set of vocabularies that researchers and practitioners could employ in similar organizational processes as in new ventures. Accordingly, future ERP implementation processes can be compared and benchmarked.

This study investigated an appended belief-attitude-intention (BAI) model, which included two antecedent beliefs of attitude and two marketing factors as additional determinants of air traveller behavioural intentions towards low-cost airlines (LCAs). The hypothesized relationships were compared across different behaviouristic groups based on flying frequency, travel purpose and travel party size.

Survey data from 331 air travellers intercepted at a major international airport in Thailand were analysed using structural equation modelling and bootstrapping multiple-group comparisons to investigate the hypothesized mediation and moderation effects.

Results indicate that behavioural intention towards LCAs is largely influenced by perceived price, followed by attitude towards LCAs and subjective norm and not determined by airport accessibility. Antecedent beliefs of perceived service quality and uncertainty avoidance influence behavioural intention, as mediated by attitude towards LCAs. The role of subjective norm varied among air traveller groups.

Managers can manage price perceptions by focusing on LCA affordability and they should closely scrutinize these air traveller behaviouristic groups to identify opportunities to appeal to the distinctive cognitive responses of traveller segments.

This study tested an appended BAI model across three different air traveller behavioural characteristics, a multi-group analytical approach that can reveal meaningful implications, yet has been underused in LCA research.

This study aims to shed light on the evolving nature of banks in the digital era and the implications for bank marketing and management. The research addresses the need for a comprehensive typology of banks that integrates fintech and explores how traditional and app-only banks strategically position their brands. The key argument is that understanding the changing landscape of banking and the impact of technological advancements is crucial for banks to navigate the challenges and opportunities presented by fintech and digital transformation.

This study examines literature and practices to develop a typology of banks, describing their characteristics, strengths, weaknesses and providing examples. It also proposes new research agendas for scholars and practitioners in the field.

This paper introduces a typology of banks based on their adoption of fintech and digital technologies. Three distinct types of banks are identified: Traditional banks adopting FinTech (TBAF), Traditionally Driven Neo Banks (TDNBs) and Digitally Driven Neo Banks (DDNBs). TBAF are traditional banks that have embraced fintech solutions to enhance their operations and customer experiences. TDNBs represent a hybrid model, combining the trusted brand and infrastructure of traditional banks with the digital capabilities and agility of neo banks. DDNBs are purely digital banks that operate exclusively online, offering innovative and user-friendly banking services.

This study is a pioneering work that classified banks based on their utilization of fintech and digital technologies. The study provides a typology of banks based on fintech adoption, offering valuable insights for bank managers, policymakers and researchers. The research also outlines a research agenda, suggesting future investigations to further enhance understanding of the evolving banking landscape and its implications.

There is always a need to discover how a paradox between a customer’s desire for a more personalized experience and their privacy and security concerns would shape their intention to continue using contactless payment methods. However, personalization–privacy paradox has not been well-covered over the area of contactless payment. Therefore, this study aims to empirically examine the impact of personalization–privacy paradox on the customers’ continued intention (CIN) to use contactless payment.

/methodology/approach – The empirical part of the current study was conducted in Saudi Arabia by collecting the primary data using online questionnaire from a convenience sample size of 297 actual users of contactless payment methods.

Based on structural equation modeling, personalization and privacy invasion were approved to significantly impact perceived value of information disclosure (PVD). Strong causal associations were confirmed between perceived severity, structural assurance and response cost with privacy invasion. Finally, both PVD and privacy invasion significantly predict CIN.

There are other important factors (i.e. technology interactivity, technology readiness, social influence, trust, prior experience, etc.) were not tested in the current study. Therefore, future studies would pay more attention regarding the impact of these factors. The current study data were also collected using a convenience sample of actual users of contactless payment methods. Therefore, there is a concern regarding the generalizability of the current study results to other kind of customers who have not used contactless payment.

This study has integrated both personalization–privacy paradox and protection motivation theory in one model. The current study holds value in providing a new and complete picture of the inhibitors and enablers of customers’ CIN to use contactless payment, including new types of inhibitors. Furthermore, personalization–privacy paradox has not been fully examined over the related area of Fintech and contactless payment in general. Therefore, this study was able to extend the theoretical horizon personalization–privacy paradox to new area (i.e. contactless payment) and new cultural context (Saudi Arabia).