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This study aims to explore the ways and contexts in which fintech firms are being developed, operated in the market and responds to competitive pressures and technological changes through isomorphism and decoupling mechanism.

How can new technology platform business successfully distinguish themselves from competitors while also ensuring that they are seen as legitimate and appropriate? This paper draws on a case study of fintech start-ups in Indonesia.

This study shows that managing market pressures for distinctiveness (customer-appealing) versus business pressures for profits (investor returns) drives firms’ quest for optimal distinctiveness. It is evident that fintech firms increase their control by consolidating themselves through their industrial association and by forming a close relationship with regulators. However, to escape the iron cage of the field, they increasingly control the coupling of profitability and compliance.

Through a qualitative-inductive approach, this study provides insights into technological development of platform business in the context of financial services and responsive movement towards cashless society.

Using the integrated behavioural model (IBM) as a theoretical framework, this study aims to identify the determinants of saving behaviour among Malaysia's income-earning Generation Y (Gen Y) born in the years 1980–1995.

The study was conducted using a questionnaire survey targeting Gen Y respondents 500 sets of responses were obtained via convenience sampling method.

Analysis conducted using partial least squares structural equation modelling (PLS-SEM) revealed that there were positive relationships among instrumental attitude, injunctive norm, perceived control, self-efficacy and intention to save. Secondly, intention to save, financial literacy and time preference were found to positively influence saving behaviour.

Policymakers may find this study useful as the results reveal saving behaviour determinants of Gen Ys in Malaysia, and policies could then be formulated to improve Gen Y's saving behaviour.

This study contributes to the literature by applying the IBM to a study on saving behaviour.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0340

Extending the elaboration likelihood model (ELM), this study investigates the impact of social media influencers (SMI) on consumer well-being (CW) as well as the influence of CW on purchase intention.

A between-subjects experiment (macro- vs mega-influencer) was conducted to assess the proposed hypotheses. A total of 190 consumers participated in the experiment, and SmartPLS 3.3 was used for multigroup analyses.

Overall, argument quality (AQ), source's credibility (SC) and influencer's kindness positively predict CW, and CW predicts purchase intention. It was also found that SC is more important when information comes from a mega-influencer, whilst kindness is essential for a macro-influencer.

The results of this study imply that CW should be an essential component of influencer marketing strategy. Marketing managers should hire credible and kind influencers who can produce quality arguments. Additionally, the selection of SMI (macro- vs mega-influencer) should be aligned with the marketing objective and type of persuasion required.

This is one of the early attempts to extend ELM by introducing influencer kindness as a peripheral cue. Moreover, the study offers novelty by examining the effects of influencer characteristics (AQ, SC and kindness) on CW and comparing these effects across macro- and mega-influencers.

藉著擴展詳儘可能性模型, 本研究擬探討網絡紅人對消費者福祉的影響, 以及消費者福祉對購買意圖的影響。

研究人員進行被試間實驗 (中網紅對大型網紅) , 以對提出的假設進行評價。190名消費者參與實驗, 研究人員使用SmartPLS 3.3 進行多群組分析。

總的來說, 論點品質、來源可信度和網紅的仁慈體貼, 均能積極預測消費者福祉, 而消費者福祉亦可預測購買意圖。研究人員亦發現, 若資訊是來自大型網紅的話, 來源可信度則更形重要, 而對中網紅來說, 仁慈體貼則是不可或缺的。

研究結果暗示, 消費者福祉應是網紅市場營銷戰略的基本要素。市場經理應僱用可靠、仁慈體貼、並能提出優質論點的網紅。而且, 網絡紅人 (中網紅對大型網紅) 的挑選, 必須與營銷目標和說服的種類互相協調。

本研究為早期的嘗試, 利用引進網絡紅人的仁慈體貼作為周邊線索, 來擴展詳儘可能性模型。另外, 本研究探討網絡紅人的特徵 (論點品質、來源可信度和仁慈體貼) 會如何影響消費者福祉; 研究人員亦跨中網紅和大型網紅, 對這些影響進行比較, 就此而言, 本研究提供了創新的研究意念。

This paper explores how conflicting institutional logics shape the behaviors of macro- and micro-level actors in their use of a calculative practice. Thereby, this paper explains how quantification can undermine the intended purpose of a governance system based on a single number.

The study draws upon the literature on calculative practices and institutional logics to present the case of how a single number—specifically the conversion factor for Atlantic Cod, established by macro-level actors for the purposes of governance within the Norwegian fishing industry—is interpreted and used by micro-level actors in the industry. The study is based on documents, field observations and interviews with fishers, landing facilities, and control authorities.

The use of the conversion factor, while intended to protect fish stock and govern industry actions, does not always align with the institutional logics of micro-level actors. Especially during the winter season, these actors may seek to serve their interests, leading to potential system gaming. The reliance on a single number that overlooks seasonal nuances can motivate unintended behaviors, undermining the governance system’s intentions.

Integrating the literature on calculative practices with an institutional logics perspective, this study offers novel insights into the challenges of using quantification for the governance of complex industries. In particular, the paper reveals that when the logics of macro- and micro-level actors conflict in a single-number governance system, unintended outcomes arise due to a domination of the macro-level logics.

This study illustrates the economic and financial dynamics of the sector, analysing the evolution of the main ratios of profitability and financial structure of 1,559 Italian real estate companies divided into the three macro-regions: North, Centre and South, in the period 2011–2020. In this way, it is also possible to verify the responsiveness to the 2020 pandemic crisis.

The analysis uses descriptive statistics tools and the ANOVA method of analysis of variance, supplemented by the Tukey–Kramer test, to identify significant differences between the three Italian macro-regions.

The study shows the increase in profitability after the 2008 crisis, despite its reverberation in the years 2012–2013. The financial structure of companies improved almost everywhere. The pandemic had modest effects on performance.

In the future, other indices should be considered to gain a more comprehensive view. This is a quantitative study based on financial statements data that neglects other important economic and social factors.

Public policies could use this study for better interventions to support the sector. In addition, internal management can compare their company's performance with the industry average to identify possible improvements.

The research analyses an economic field that employs a large number of people, especially when considering the construction and real estate services covered by this analysis.

The study contributes to the literature by providing a quantitative analysis of industry dynamics, with comparative information that can be deduced from financial statements over the years.

Automatic modulation recognition (AMR) is a challenging problem in intelligent communication systems and has wide application prospects. At present, although many AMR methods based on deep learning have been proposed, the methods proposed by these works cannot be directly applied to the actual wireless communication scenario, because there are usually two kinds of dilemmas when recognizing the real modulated signal, namely, long sequence and noise. This paper aims to effectively process in-phase quadrature (IQ) sequences of very long signals interfered by noise.

This paper proposes a general model for a modulation classifier based on a two-layer nested structure of long short-term memory (LSTM) networks, called a two-layer nested structure (TLN)-LSTM, which exploits the time sensitivity of LSTM and the ability of the nested network structure to extract more features, and can achieve effective processing of ultra-long signal IQ sequences collected from real wireless communication scenarios that are interfered by noise.

Experimental results show that our proposed model has higher recognition accuracy for five types of modulation signals, including amplitude modulation, frequency modulation, gaussian minimum shift keying, quadrature phase shift keying and differential quadrature phase shift keying, collected from real wireless communication scenarios. The overall classification accuracy of the proposed model for these signals can reach 73.11%, compared with 40.84% for the baseline model. Moreover, this model can also achieve high classification performance for analog signals with the same modulation method in the public data set HKDD_AMC36.

At present, although many AMR methods based on deep learning have been proposed, these works are based on the model’s classification results of various modulated signals in the AMR public data set to evaluate the signal recognition performance of the proposed method rather than collecting real modulated signals for identification in actual wireless communication scenarios. The methods proposed in these works cannot be directly applied to actual wireless communication scenarios. Therefore, this paper proposes a new AMR method, dedicated to the effective processing of the collected ultra-long signal IQ sequences that are interfered by noise.

Drawing on institutional work (Lawrence and Suddaby, 2006; Lawrence et al., 2011), this study aims to explore how the concept of value for money (VFM) is understood in terms of the private finance initiative (PFI) implementation in Malaysia.

In-depth interviews with 25 actors involved in the implementation of PFI projects at two public universities in Malaysia were conducted. The interviews focused on the ways in which participants in the projects make sense of VFM in their ongoing involvement with the projects. In addition, a review of publicly available documents was conducted to understand the ways in which the notion of VFM is reflected in the policies and procedures of the government. Data from the interviews and documents were analysed using thematic analysis.

It is found that the advocacy work of macro-level actors, as well as micro-level actors, has promoted PFI implementation to achieve VFM. However, to the micro-level actors, VFM is just a concept that carries different interpretations, depending on how PFI fits their everyday functional discourses. In addition, direct negotiation and lack of commercial appreciation are disruptive not only to the achievement of VFM but also to the public sector reform agenda of the country.

The present study contributes to the discourses on the concept of VFM that is assumed to be inherent in PFI. The findings are based on micro- and macro-level actors and cover both advocacy and disruption of VFM achievement.

The research study provides empirical insights on the relationship between entrepreneurial leadership (EL), entrepreneurial passion for founding (EPF), entrepreneurial bricolage (EB) and project success (PS), in the case of freelancers. The study aims to get a better understanding of whether freelancers, who behave like entrepreneurial leaders, can successfully complete projects through EB.

The study collected data from 209 freelancers through snowball sampling, in two waves, with a time-lag of fourteen days, to better examine the causality of variables. Data were analyzed by Model No. 4 and 7 (i.e. mediation and moderation, respectively) of Process macro.

Drawing on the effectuation theory, the results show that EB mediates the relationship between EL and PS and EPF moderates this relationship.

The freelancers can formally establish businesses later, after knowing whether they can complete these new types of projects. These online freelancing platforms can provide special services to freelancers who first want to test their skills on unrelated projects. In sum, the paper suggests that freelancers can be successful entrepreneurial leaders.

The EL, EPF, EB and PS are studied in the context of the informal sector, i.e. freelancing, which is the emerging working style in the world. It provides an in-depth understanding of phenomena in freelancers that lacks background literature.

To paint a more comprehensive picture of organizational ambidexterity in the hotel industry, the purpose of this study is to investigate how and when to develop a dual operating system following a theoretical rationale supported by the three-stage model of creativity and organization support theory.

Survey-based research strategy and questionnaire-based data collection techniques have been used in the current study. data was randomly collected from human resource managers of 16 four-star and five-star hotels. The 200 questionnaires were distributed, out of which 182 usable questionnaires were analyzed using “PROCESS macro”.

The findings show that the integrative moderated-mediation model fits the data well. Hence, the three-stage model of creativity and organization support theory is useful, and the numerical evidence verified its applicability in the hospitality industry. To conclude, the results of this study, when applied to the hotel industry, can do marvels by being more innovative with their services.

More recently, it has been found that long-term success is only achievable and can be sustained if exploitative and explorative innovations are balanced. So far, however, little is known about how to achieve organizational ambidexterity in the hospitality industry.

Halfway into the United Nations (UN) sustainable development goals (SDGs) timeline, we deemed fruitful an injunction into current teacher education (TE) practices at higher educational institutes (HEIs). The scoping literature review used all known English nomenclature interrelating to environment, sustainability, development, and education as regards TE. We explicated and modelled the data through timelines favourable to UN initiatives within a spatiotemporal metric. Thematic research topics and research methodologies strictly pertaining to TE were rigorously researched and delineated. Our study aims to elucidate a grander picture of the trends-as-patterns of environmental and sustainability education in teacher education (ESE-TE) research in HEI and potential contributions to come.

The spatiotemporal study adopts a scoping review as an investigative tool to probe current research trends on ESE-TE in the academic literature with respect to thematic research topics and research methodologies midway through the SDGs.

A total of 2,142 research papers spanning five decades, 152 journals and 96 countries were screened equally by two researchers. Of the 788 papers deemed eligible (i.e. English-language, peer-reviewed, pre-service/in-service TE that explicitly mentioned ESE-TE research), data from 638 studies have been included in the authors’ study.

Comprehensive trends in the international literature of all known environmental and sustainable education nomenclature specific to international ESE-TE research throughout the time period (1974 – 2021) were identified. Value is accrued by illuminating international trends in research topics and methodologies, exposing gaps in the history of the subfield, and predicting future trends for Agenda 2030 (e.g. SDG 4 – education) to mature the field.