Search results

This study aims to examine the complex effects of foreign direct investment (FDI) on China’s agricultural total factor productivity (TFP) from 2005 to 2020. It also explores the role of absorptive capacity as a moderating factor during this period.

Employing provincial panel data from China, this research measures agricultural TFP using the Stochastic Frontier Approach (SFA)-Malmquist method. The impact of FDI on agricultural productivity is further analyzed using a nondynamic panel threshold model.

The results highlight technological progress as the main driver of agricultural TFP growth in China. Agricultural FDI (AFDI) seems to impede TFP development, whereas nonagricultural FDI (NAFDI) shows a distinct positive spillover effect. The study reveals a threshold in absorptive capacity that affects both the direct and spillover impacts of FDI. Provinces with higher absorptive capacity are less negatively impacted by AFDI and more likely to benefit from FDI spillovers (FDISs).

This study provides new insights into the intricate relationship between FDI, absorptive capacity and agricultural productivity. It underscores the importance of optimizing technological progress and research and development (R&D) to enhance agricultural productivity in China.

This study aims to evaluate the impact of extrinsic, intrinsic and amotivation on an individual’s knowledge-sharing behavior.

The authors reviewed the literature on self-determination theory (SDT) as an applied predictor of knowledge-sharing behavior, and documented the extent to which SDT conceptual framework components have been studied in relation to predict knowledge sharing.

Building from SDT and its sub-theories, this study uncovers a gap in the knowledge-sharing literature as the continuum of the SDT framework has yet to fully be applied to knowledge-sharing behavior.

Contributing to the literature on knowledge management and knowledge sharing, this study is the first, to the best of the authors’ knowledge, of its kind to apply Deci and Ryan’s self-determination continuum, in its entirety, to a knowledge-sharing conceptual framework. The authors thereby address the potential impact of amotivation on an individual’s knowledge-sharing behavior.

This study aims to offer empirical evidence on how integrated thinking affects the integrated reporting (IR) practice and how integrated thinking originates from board and management involvement, cross-functional integration and integral link between capitals and strategies.

This study is cross-sectional and uses a mixed-method approach. The empirical data for the quantitative approach were collected from the 129 public companies listed on Colombo Stock Exchange in Sri Lanka. The personale responsible for preparing the annual report are selected as the respondents of this study. This study used partial least square modelling to test the hypotheses. The quantitative approach results are triangulated across a qualitative research approach in semi-structural interviews with ten responsible officers of integrated reporting practices.

The central finding of this study is the significant positive relationship between integrated thinking and integrated reporting practice. The qualitative results supported the quantitative findings and show that board and management involvement, cross-functional integration and integral link between capital and strategy enhance the integrated reporting practice. Top management and board management have positive beliefs about the integrated reporting practice; they initiate, encourage, influence, involve and support it. Furthermore, all company departments are involved with the integrated reporting led by the finance department and practice good coordination, communication and collaboration between departments. Moreover, it also evidenced their concern about the linkage between capital and strategy and how they do it in their organisation when practising integrated reporting.

The firms which intend to practice or enhance integrated reporting will be benefited from this study. Hence, this research assists in constructing IT through the direct role of the board and senior leadership, breaking down silos to diffuse IR throughout structures and processes, and concentrating on strategies while managing their capitals and relationships over the long term.

This study provides the initial quantitative empirical evidence on the impact of integrated thinking on integrated reporting practice. To the best of the authors’ knowledge, this study is the first to operationalise both integrated thinking and integrated reporting based on a questionnaire that developed and tested both constructs as higher-order reflective formative and on the relationship between integrated thinking and integrated reporting. The mixed-method approach to examine the relationship between integrated thinking and integrated reporting provides additional insights into the existing literature.

The complexity and uncertainty of healthcare operations increasingly require agility to safeguard a high quality of care. Using a microfoundations of dynamic capabilities perspective, this study investigates the effects of nurses' implicit voice theories (IVTs) on the behaviors that influence their individual agility.

This research uses quantitative survey data collected from 2,552 Canadian nurses during the fourth wave of the Covid-19 pandemic in the fall of 2021. Structural equation modeling is used to test a conceptual model that hypothesizes the effects of three different IVTs on nurses' creativity, spontaneity, agility and the quality of care they deliver to patients.

The results reveal that voice-inhibiting cognitions (like “suggestions are criticisms for higher-ups”, “I first need a solution or solid data”, and “speaking up has negative repercussions”) negatively impact nurses' creativity and spontaneity in crafting solutions to problems they face daily. In turn, this affects nurses' individual agility as they attempt to adapt to changing circumstances and, ultimately, the quality of care they provide to their patients.

Even if organizations have little control over employees' pre-held beliefs regarding voice, they can still reverse them by developing and nurturing a voice-welcoming culture to boost their workers' agility.

This study combines two theoretical frameworks, voice theory and dynamic capabilities theory, to study how individual-level factors (cognitions and behaviors) contribute to nurses' individual agility and the quality of care they provide to their patients. It answers the recent calls of scholars to study the mechanisms through which healthcare operations can develop and sustain dynamic capabilities, such as agility, and better face the “new normal”.

As a by-product of the production process, emissions can follow output fluctuations. Hence, disregarding the relationship between economic fluctuations and emissions could result in undesirable environmental outcomes. This study aims to investigate the environmental and economic effects of abatement subsidies on overall emissions during business cycles in Australia.

A real business cycle (RBC) model is devised and parameterised in this paper. RBC models have been recently introduced to environmental policy analysis, and this study contributes to the literature by investigating the effects of a potential subsidy policy in an RBC framework. The model is also calibrated and provides solutions for the Australian economy.

The authors find that under a steady-state situation, supporting abatement can result in reducing emissions by 6.45% while it imposes welfare costs to the economy (by 0.61%). Simulation results show that an optimal abatement policy should be pro-cyclical, with the abatement subsidy increasing during expansions and decreasing during recessions. As well, in a subsidy policy setting, emissions would react pro-cyclically, i.e. emissions increase (decrease) when the gross domestic product increases (decreases). The abatement reaction by firms, however, is different, because when a positive productivity shock occurs, firms reduce abatement and allocate resources to production. Nonetheless, as time passes, the increased subsidy provides a strong enough incentive to allocate resources to abatement and, subsequently, abatement increases.

This paper investigates how an emission reduction subsidy should be adapted to macroeconomic fluctuations so that it can limit variations in emissions.

In the rapidly evolving digital economy, businesses face formidable pressures to maintain their competitive standing, prompting a surge of interest in the intersection of artificial intelligence (AI) and digital transformation (DT). This study aims to assess the impact of AI technologies on corporate DT by scrutinizing 3,602 firm-year observations listed on the Shanghai and Shenzhen stock exchanges. The research delves into the extent to which investments in AI drive DT, while also investigating how this relationship varies based on firms' ownership structure.

To explore the influence of AI technologies on corporate DT, the research employs robust quantitative methodologies. Notably, the study employs multiple validation techniques, including two-stage least squares (2SLS), propensity score matching and an instrumental variable approach, to ensure the credibility of its primary findings.

The investigation provides clear evidence that AI technologies can accelerate the pace of corporate DT. Firms strategically investing in AI technologies experience faster DT enabled by the automation of operational processes and enhanced data-driven decision-making abilities conferred by AI. Our findings confirm that AI integration has a significant positive impact in propelling DT across the firms studied. Interestingly, the study uncovers a significant divergence in the impact of AI on DT, contingent upon firms' ownership structure. State-owned enterprises (SOEs) exhibit a lesser degree of DT following AI integration compared to privately owned non-SOEs.

This study contributes to the burgeoning literature at the nexus of AI and DT by offering empirical evidence of the nexus between AI technologies and corporate DT. The investigation’s examination of the nuanced relationship between AI implementation, ownership structure and DT outcomes provides novel insights into the implications of AI in the diverse business contexts. Moreover, the research underscores the policy significance of supporting SOEs in their DT endeavors to prevent their potential lag in the digital economy. Overall, this study accentuates the imperative for businesses to strategically embrace AI technologies as a means to bolster their competitive edge in the contemporary digital landscape.

Research on artificial intelligence (AI) and its potential effects on the workplace is increasing. How AI and the futures of work are framed in traditional media has been examined in prior studies, but current research has not gone far enough in examining how AI is framed on social media. This paper aims to fill this gap by examining how people frame the futures of work and intelligent machines when they post on social media.

We investigate public interpretations, assumptions and expectations, referring to framing expressed in social media conversations. We also coded the emotions and attitudes expressed in the text data. A corpus consisting of 998 unique Reddit post titles and their corresponding 16,611 comments was analyzed using computer-aided textual analysis comprising a BERTopic model and two BERT text classification models, one for emotion and the other for sentiment analysis, supported by human judgment.

Different interpretations, assumptions and expectations were found in the conversations. Three subframes were analyzed in detail under the overarching frame of the New World of Work: (1) general impacts of intelligent machines on society, (2) undertaking of tasks (augmentation and substitution) and (3) loss of jobs. The general attitude observed in conversations was slightly positive, and the most common emotion category was curiosity.

Findings from this research can uncover public needs and expectations regarding the future of work with intelligent machines. The findings may also help shape research directions about futures of work. Furthermore, firms, organizations or industries may employ framing methods to analyze customers’ or workers’ responses or even influence the responses. Another contribution of this work is the application of framing theory to interpreting how people conceptualize the future of work with intelligent machines.

This paper aims to examine if the market risk premiums of the Gulf Cooperation Council (GCC) countries are particularly higher on prescheduled US monetary policy announcement days. The findings shed light on the causality relationship from the state of the global economy to the GCC equity markets as well as their integration with the rest of the world.

The author takes the standard event-study approach, following Fama et al. (1969). As the announcement days are prescheduled, the impact of the announcements on the GCC markets' risk premia allows for test of causality, while other studies address predictability and association.

The author finds that excess returns are higher, both economically and statistically, on announcement days in most individual GCC countries and the region overall. Moreover, additional compensations may not appear on the exact days of announcement in a few countries; rather, on the days right before or after announcements, possibly due to information leakage or gradual diffusion. My results show that there is a causal relationship from the state of the global economy to the GCC equity markets' risk premia. This new evidence supports integration between the Gulf region's and the world's financial markets.

The evidence of risk–return transmission from US monetary policy announcements to GCC countries' equity indices supports integration between the region's and the world's financial markets. The study results will help guide investors' and corporations' investing, capital budgeting and portfolio evaluation decisions.

This paper extends the announcement literature (Savor and Wilson 2013, 2014) by examining the responses of the GCC countries, the major players of the global oil markets. The empirical analysis documents a causal relationship from the state of the global economy, as revealed by US monetary policy announcements, to the GCC equity indices. This new evidence supports increased integration between the Gulf region and the world, a finding that investors and corporations should consider when making investing, capital budgeting and portfolio evaluation decisions.

This study provides a configurational examination of how policy designs influence the innovation performance of the emergency industry in China.

This study employs the Data Envelopment Analysis Malmquist index (DEA-Malmquist) to quantify the innovation performance of the emergency industry and then codes the innovation policies to calculate the syntactic components based on institutional grammar tools (IGTs). The configurations of syntactic components were determined by applying the fuzzy-set qualitative comparative analysis (fsQCA).

The results indicate that rules- and norms-oriented policy designs would improve the innovation performance of China's emergency industry. In the developed provinces, the “Deontic” and “aIm” combinations in the policy are useful for improving performance. In the developing provinces, the ambiguity of the “aIm” and “Context” conditions in the policy is leading to low performance. Additionally, a lack of strategy-oriented policy design would also result in poor performance.

Most previous studies used substitute variables to understand policy impacts. This study contributes to identifying the impacts of the syntactic components of policy designs on the innovation performance of the emergency industry. The findings can assist policymakers in developing more effective policies to stimulate innovation development in the emergency industry.

Given the rise of sport non-fungible tokens (NFTs) and sponsorships from cryptocurrency companies in the sport industry during the coronavirus disease 2019 (COVID-19) pandemic, this paper aims to critically frame the partnerships between cryptocurrency and sport by exploring the reception of fan tokens amongst supporters of three English Premier League clubs: Manchester City, Everton and Crystal Palace.

Drawing upon the emerging critical scholarship on cryptocurrency and the political economy of professional football, this study uses digital ethnography in an attempt to understand the major themes emanating from the online forum discussions amongst fans in response to the issuance of fan tokens by the aforementioned three clubs, among other types of partnerships with crypto companies.

The supporters’ critical deliberations revolved around the contradictions of fan tokens (as a means for supposed “fan engagement” or for financial speculation) and the utility of cryptocurrency for the public. These reactions in turn showcase a larger tension underlying the financially unstable professional football industry: the contest between the owners and the fan bases over the exchange value (for profit) and use value (for community) of the clubs.

This paper is one of the first studies to adopt a critical framework to examine the emerging partnerships between sports and cryptocurrency companies during the COVID-19 pandemic. It also provides one of the first in-depth analyses of the critical receptions of sport NFTs amongst sport fans. While contributing to the literature on fan activism/protest in the context of the commercialization and commodification of sport, the paper also raises new questions on the responsible use of cryptocurrency/NFT in sport.