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Despite the well-recognized importance of recycled water, the study of industry-peer pressure on recycled water is relatively new. This study investigates how organizations experience and react to industry-peer pressure to set recycled water targets. Additionally, this study investigates the role of board chairs involved in sustainability committees in contributing to responses to industry-peer pressure.

Using Eviews 12, this study employed a pooled logistic regression model to analyze data from 1,346 firms on Taiwan and Taipei exchanges (2017–2020).

The findings revealed that frequency-based imitation drives recycled water target-setting diffusion. However, there is no direct relationship between outcome-based imitation and recycled water target-setting. Notably, outcome-based imitation drives the adoption of recycled water target-setting of firms with board-chair membership in sustainability committees.

This study faces certain data limitations. First, this study primarily focuses on water recycling. Future research could explore other ways to reduce water usage, such as using water-efficient equipment. Second, this study gathered information solely on the presence or absence of a board chairperson on the sustainability committee. Future researchers could explore the impact of the composition of sustainability committee on recycled water target-setting. Lastly, the sample used in this study is restricted to Taiwan's corporations that existed during 2017–2020. Future researchers may consider adopting a longitudinal design in other economies to address this limitation.

The findings of this study offer several guidelines and implications for recycled water target-setting and the composition of sustainability committees. It responds to an urgent call for solutions to water shortages when pressure from governments and nongovernmental organizations is relatively absent. The number of industry peers that have already set recycled water targets is indispensable for motivating firms to set their own recycled water targets. In terms of insufficient water-related regulatory pressure and normative pressure, this study found evidence suggesting that the direct motivation for setting recycled water targets stems from mimetic pressures via frequency-based imitation. The evidence in this study suggests that policymakers should require companies to disclose their peers’ recycled water target information, as doing so serves as an alternative means to achieving SDG 6.3.

Recycled water target-setting might be challenging. Water recycling practices may face strong resistance and require substantial additional resources (Zhang and Tang, 2019; Gao et al., 2019; Gu et al., 2023). Therefore, this study suggests that firms should ensure the mindfulness of board members in promoting the welfare of the natural environment when making recycled water target-setting decisions. To reap the second-mover advantage, firms must consider the conditions in which board members can more effectively play their role. Corporations may help their chairpersons in setting recycled water targets by recruiting them as members of sustainability committees. Meanwhile, chairpersons tend to activate accurate mental models when the water conservation performance of pioneering industry peers is strong enough to indicate the potential benefits of adopting recycled water target-setting. Investors’ and stakeholders’ understanding of how the composition of sustainability committees is related to recycled water target-setting may help to identify the potential drivers of firms’ water responsibility. Investors and stakeholders should distinguish firms in terms of the board chair’s membership of their sustainability committee and focus on water-use reduction outcomes in the industry. This study provides insights into circumstances whereby chairpersons help to restore the water ecosystem.

This study explains how frequency-based and outcome-based imitation are two prominent mechanisms underlying the industry-peer pressure concerning recycled water target-setting. Moreover, this study fills literature gaps related to the moderating roles of board-chair membership in sustainability committees concerning industry-peer pressure on recycled water target-setting.

Responding to natural resource depletion and carbon dioxide (CO₂) emission problems, and also the stricter government’s energy regulations, the purpose of this paper is to develop a sustainable waste heat recovery optimal-profit-oriented management model especially targeting on the easily forgotten low- and medium-temperature waste heat in the industry. In the paper, a system is constructed to facilitate converting the low- and medium-grade waste heat in factories into electricity, and yields optimal profit.

This paper integrates an efficient Organic Rankine Cycle (ORC) system from both sustainable energy reservation and cost effectiveness approaches with an optimization model that adopts particle swarm optimization (PSO) algorithm to determine proper installation locations and feasible generator sets. The system is constructed to facilitate converting the low- and medium-grade waste heat in factories into electricity, and yields optimal profit. The model considers the environmental factors: temperature, heat amount, equipment configuration of the number of ORC sets, and detailed investment cost constraints.

The results show that annual investment return rate, annual increase in electricity, power generation efficiency, and annual CO₂ emission reduction are all highly improved, and investment recovery period is shortened. Also, the larger scale of the waste heat emission, the better the performance is achieved. Finally, the study also completes a sensitivity test under dynamic conditions of electricity price, generator sales price and factory budget constraints, and the results are consistently robust. More valuably, this paper demonstrates applications on two different manufacturing industries with various waste heat emission scales to prove the accountability.

The main contributions are in three aspects. First, it proves that applying PSO to a nonlinear mathematical model can help determine the optimal number and style configuration of generators for waste heat sources. Second, different from the prior research works focusing on power generation, this paper also deliberates the cost factors, cost of generators, costs of numerous peripheral components and future maintenance costs to ensure the factories not conflict with the financial limitations. Third, it is not only successfully applied in two industries with different scales, but also robust with various economic tests, electricity price change, generator sales price change, and investment budget adjustments.

Despite the evident and dramatic increase in smartphone usage worldwide, some consumers continue to use traditional mobile phones. The purpose of this paper is to investigate the behavioral intentions of these laggard and non-smartphone users.

This current study examines the effects of consumer demographics, psychographics, and smartphone characteristics on the intentions of non-smartphone consumers to switch or resist the use of smartphones. Data were collected using a convenience sample of non-smartphone users in Taiwan. The proposed model is tested using the consistent partial least squares (PLSc) path modeling technique.

PLSc results indicate that consumer psychographics and smartphone characteristics play more important roles than consumer demographics. Specifically, price consciousness, nostalgia, and perceived ease of use are good predictors of intention to switch, whereas perceived usefulness and ease of use are strong predictors of the intention to resist smartphone adoption.

The results of this study have implications for mobile phone vendors and mobile manufacturers who target non-smartphone users or laggard adopters.

This study is among the few that focus on non-smartphone users’ perceptions of smartphones. Hence, this empirical study could contribute to the development and testing of theories related to the smartphone adoption process.

This study aims to identify the antecedent factors influencing consumer attitudes and patronage intentions toward an intelligent unmanned convenience store (IUCVS) in Taiwan. The IUCVS is a new smart service that offers customers a novel shopping experience, given that it avoids queues and physical contacts with cashiers. However, studies discussing IUCVS remain scant owing to its brief history.

This research develops a synergistic model combining original unified theory of acceptance and use of technology (UTAUT) constructs with perceived risk and value to test differences between unexperienced and experienced customers’ attitudes and patronage intentions toward IUCVSs. Data collected from 268 experienced and 156 unexperienced consumers were tested against the proposed research model using partial least squares (PLS) structural equation modeling and multi-group analysis (PLS-MGA).

In line with expectations, three UTAUT variables (i.e. performance, effort expectancy and social influence) and perceived value significantly and positively influence consumer attitudes toward IUCVSs. This research confirms the significant and negative direct effect of perceived risk on consumers’ patronage intentions toward IUCVSs. Furthermore, the PLS-MGA results unveil that a significant difference exist in the effects of perceived convenience value on attitudes toward IUCVS between consumers who had experience of using self-service machines and those who have not.

This research successfully fills the research gap by offering a synergistic model for evaluating consumers’ attitudes and patronage intentions toward a new smart service. Several important theoretical and practical implications are provided to help retail managers develop service strategies.

The purpose of this paper is to explore censorship on popular music in Taiwan and how the practices have influenced the consumption and production of music in the post-martial law period.

Through adopting grounded theory with snowball sampling and ethnographic methods, this paper will interview music audiences and musicians as well as analyze recent censorship cases to develop a more comprehensive understanding of the topic.

Institutional and corporate self-censorship has a noteworthy influence on popular music in post-marital law Taiwan. Cross-strait relations still are a key tension that triggers censorship but the form has been shifting.

This study draws on both the complexity of censorship by case studies and the audience's perception of music in everyday life.

The purpose of this paper is to examine the influence of consumers’ perceptions of convenience retailer innovativeness on their perceived value (PV) and store patronage intentions (PIs).

A three-step PCRI-PV-PI model that integrates perceived convenience retailer innovativeness (PCRI), PV, and PIs is proposed. The moderating effect of consumer innovativeness on the relationship between PCRI and PIs is also examined.

Modeling results confirm that PCRI is an important antecedent of PV among consumers that further influences their PIs toward specific convenience retailers. Moreover, PCRI significantly and indirectly affects the PIs of less innovative consumers via PV. However, no such indirect association is identified among highly innovative consumers.

The proposed PCRI-PV-PI model may be useful to other consumer behavior and retail studies, particularly in this era of increased market competition in which innovation has become a critical strategic tool for market differentiation.

The current research is the first empirical study that examines the effects of PCRI on PV and PIs in the context of convenience retailing.

The components of earnings or cash flows have different implications for the assessment of the firm's value. We extend the research for value-relevant fundamentals to examine which financial performance measures convey more information to help investors evaluate the performance and value for firms in different life cycle stages in the high-tech industry. Six financial performance measures are utilized to explain the difference between market value and book value. Cross-sectional data from firms in Taiwanese information electronics industry are used. We find all the six performance measures which are taken from Income Statement and Cash Flow Statement are important value indicators but the relative degrees of value relevance of various performance measures are different across the firm's life cycle stages. The empirical results support that capital markets react to various financial performance measures in different life cycle stages and are reflected on the stock price.

Virtual reality (VR) offers unprecedented immersion and interactivity in education, and working and learning from home have become the norm during the COVID-19 pandemic. This study empirically investigated the factors affecting the use of a VR online learning system (VROLS).

To explore factors affecting users’ continuance behavioral intentions toward using VROLSs, a research framework was formed comprising factors that constitute benefits (i.e. pull factors) and costs (i.e. push factors); these factors included perceived value, flow and social influence. The data for this study were collected via online survey questionnaires. A total of 307 valid responses were used to examine the hypotheses in the research model, employing structural equation modeling (SEM) techniques.

Perceived value, flow experience and the number of peers using VR primarily affect the decision to adopt a VROLS. The pull factors of spatial presence, entertainment and service compatibility, along with the push factors of complexity and visual fatigue, affect perceived value. Therefore, we conclude that perceived value is a primary factor positively influencing both flow experience and the decision to adopt the service.

This study contributes to a theoretical understanding of factors that explain users’ intention to use VROLSs.

Prior research mostly focuses on the effect of over-education on happiness, whereas the effect of under-education on happiness has received minimal attention. In addition, no research to date has examined the effect of both over- and under-education on happiness by using a full spectrum of workers. Thus, the purpose of this paper is to fill this research gap.

The ordered probit model is estimated to examine the effect of the education–occupation mismatch on happiness based on 2012 survey data from Taiwan.

The results generally indicate that over-education positively affects happiness, whereas under-education has a minimal effect. The effect of the education–occupation mismatch on happiness also varies with different age groups. Specifically, over-education positively affects happiness except for workers aged 42 and above, whereas negative effects of under-education are found only among workers aged between 32 and 42 when their social network is insufficiently extensive. Moreover, a worker’s social network as a non-pecuniary factor, rather than income as a pecuniary factor, is a major channel through which education enhances happiness.

Given the limited and mixed evidence on the relationship between over-education and happiness, this study contributes to the existing literature by examining whether and how the education–occupation mismatch (over- and under-education) affects the happiness of workers both directly and indirectly via pecuniary and non-pecuniary factors. The research issue remains unexplored to date. Addressing such a question should help explain the persistent trend in pursuing higher education in Taiwan, although highly educated people may suffer from unemployment and an education–occupation mismatch.

The peer review history for this paper is available at: https://publons.com/publon/10.1108/IJSE-04-2019-0283