Search results

The authors provide a general framework of behavior under asymmetric information and develop indices of diligence, objectivity and quality by an analyst and analyst firm about a studied firm, and relate them to the accuracy of its forecasts. The authors test the associations of these indices with time.

The test of Public Information versus Non-Public Information Models provides the index of diligence, which equals one minus the p-value of the Hausman Specification Test of Ordinary Least Squares (OLS) versus Two Stage Least Squares (2SLS). The test of Objectivity versus Non-Objectivity Models provides the index of objectivity, which equals the p-value of the Wald Test of zero coefficients versus non-zero coefficients in 2SLS regression of the earnings forecast residual. The exponent of the negative of the standard deviation of the residuals of the analyst forecast regression equation provides the index of analytical quality. Each index asymptotically equals the Bayesian ex post probability, by the analyst and analyst firm about the studied firm, of the relevant behavior.

The authors find that ex post accuracy is a statistically and economically significant increasing function of the product of the indices of diligence, objectivity and quality by the analyst and analyst firm about the studied firm, which asymptotically equals the Bayesian ex post joint probability of diligence, objectivity and quality. The authors find that diligence, objectivity, quality and accuracy did not improve with time.

There has been no previous work done on the systematic and objective characterization and joint analysis of diligence, objectivity and quality of analyst forecasts by an analyst and analyst firm for a studied firm, and their relation with accuracy. This paper puts together the frontiers of various disciplines.

Agricultural extension has played a central role in building the capacity of smallholders for decades. In efforts to improve extension outcomes, demand-driven approaches have emerged to better align extension content with smallholder context. The aim of this paper is to explore the challenges facing demand-driven extension in Papua New Guinea.

Exploratory case study methodology was used to explore the challenges facing demand-driven extension from the perspectives of 11 practitioners experienced in community engagement in Papua New Guinea.

Although there is great potential for demand-driven extension, this research found extension services in Papua New Guinea are ill-equipped to introduce and sustain a resource-intensive approach like demand-driven extension. It further found that rural farmers who extension organisations have long neglected lack the necessary skills and trust to gain from these services.

A limitation of this research is that it only reflects the opinions of practitioners working in Papua New Guinea. Further research featuring a broader sample of value chain actors connected to extension would provide a more complete understanding of the potential challenges to demand-driven engagement in this context.

With a growing interest among development projects to utilise demand-driven engagement with farmers, this research is the first study to explore the challenge facing this promising approach in Papua New Guinea.

Successful digital transformation requires a change in organisational structures, processes, capabilities and competencies. Digital transformation research is more influenced by the technology adaptation model and hence focuses on people's attitudes, behaviour and abilities. Recently, employee agility has attracted attention in the context of technology adoption and Industry 4.0. The current research explores the relationship between employee agility and digital technology adoption in the context of digital transformation by adopting the systematic literature review method.

Following the attitude–ability-behaviour–outcome framework, the research explored the specific agile ability, attitude and behaviour characteristics useful for digital transformation. Following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) framework consisting of (1) initiation, (2) screening, (3) evaluation and (4) confirming inclusion (Ambika et al., 2023), the study identified 19 papers from SCOPUS indexed journals.

The study result found that agile attitude characteristics such as collaborative mindset, computer self-efficacy, ambiguity aversiveness, etc. are influencing the digital transformation process. Agile abilities like basic computer knowledge, previous technical experience, cognitive abilities, innovation capability, digital competence training and supporting proper knowledge management practices also influence digital transformation. Finally, agile behaviour such as relationship building, knowledge-sharing behaviour, promoting values of learning, risk-taking and experimenting, rewarding innovativeness and customer-centric innovation and displaying adaptability, resilience and commitment to change, etc. are found to drive digital transformation.

Research on workforce agility and digital transformation is scarce. The current study contributes to benchmarking research by exploring specific agile attitudes, abilities and behaviour characteristics relevant to digital transformation, especially in the era of Industry 4.0.

With the increasing use of Internet and mobile handsets, mobile-based electronic payment apps (MEPAs) are becoming very popular around the world due to having various advantages. The intention of this exploratory study is to investigate the role/impact of selected factors in adopting three MEPAs of China: Wechat, Alipay and UnionPay based on the extended technology acceptance model (ETAM). After conducting a thorough and careful literature review, this study identified and divided seven such factors into three broad categories: (1) technological factors: perceived ease of use (PEU) and perceived usefulness (PU); (2) personal factors: perceived trust (PT), perceived privacy (PP) and perceived risk (PR); and (3) social factors: social influence (SI) and peer influence (PI) that were assumed to affect the intention to adopt MEPAs (IAMEPAs).

1,597 Chinese individuals were selected through purposive sampling technique who regularly used MEPAs at the time of collecting data. For collecting primary data from the selected respondents, a cross-sectional survey instrument was used. The study utilized IBM SPSS 25 for descriptive statistics and a second generation covariance-based structural equation modeling (CB-SEM) technique through AMOS 25 for testing the hypothesized relationships.

From statistical analysis, it was identified that five factors: PEU, PU, PT, SI and PI have significant positive impact on the dependent variable, IAMEPAs while PR and PP have insignificant influence on IAMEPAs.

This is one of the studies ever conducted to discover the factors that can have impact on the adoption of MEPAs using ETAM. It is strongly expected that this exploratory study can motivate the scholars to commence additional investigations regarding this increasingly popular financial technology (Fin-Tech). In addition, it can be anticipated that the MEPA service providers can widen their service effectiveness according to the users’ opinion reflected in this study. Furthermore, policymakers involved with Fin-Tech can also formulate and implement effective policies and guidelines based on the empirical outcomes.

The purpose of this study is to examine the application of sustainable building design and operation within a university setting to determine its economic efficacy and potential for further university investment.

This study incorporated a life cycle cost analysis (LCCA), simple payback period and discounted payback period calculations to determine the return on investment, including a sensitivity analysis when comparing the energy use and financial benefits of the sustainable design of a multi-use facility at Toronto Metropolitan University with buildings of similar size and use-type.

It was found that there is a positive business argument for Canadian Universities to consider the use of sustainable design to reduce energy use and greenhouse gas (GHG) emissions. A reasonable payback period and net present value within an institutional context were determined using a life-cycle cost assessment approach.

This study was limited to the measure of only a single location. Certain assumptions regarding energy pricing and interest rates and the related sensitivities were anchored on a single year of time, and the results of this study may be subject to change should those prices or rates become significantly different over time. Considerations for future research include a longitudinal approach combined with a more detailed analysis of the effect of use-type on the variables discussed.

For university administrators, the results of this study may encourage institutions such as universities to approach new building projects through the lens of energy efficiency and environmental sustainability.

GHG emissions are a well-proven contributor to global climate change, and buildings remain a significant source of GHG emissions in Canada due to their winter heating and summer cooling loads. As a result, sustainable building design on university campuses can mitigate this impact by optimizing and reducing energy consumption.

Research related to the economic evaluation of sustainable building design on university campuses is generally limited, and this study represents the first of its kind in regard to an LCCA of a sustainably designed building on a Canadian University campus.

This study aims to examine the key antecedents influencing the private firm’s intention to adopt big data analytics (BDA) in developing economies. To do so, the study follows the sequential explanatory approach.

To test the hypothesized model that draws on the technology–organization–environment (TOE) framework paired with the diffusion of innovation (DOI) theory, a purposive sampling technique was applied to gather data from 156 IT and management domain experts from the private firms that intend to adopt BDA and operate in Pakistan’s service industry, including telecommunication, information technology, agriculture, and e-commerce. The data were analysed using the partial least squares structural equations modelling (PLS-SEM) technique and complemented with qualitative analysis of 10 semi-structured interviews in NVIVO 12 based on grounded theory.

The empirical findings revealed that the two constructs – perceived benefits and top management support – are the powerful drivers of a firm’s intention to adopt BDA in the private sector, whereas IT infrastructure, data quality, technological complexity and financial readiness, along with the moderators, BDA adoption of competitors and government policy and regulation, do not significantly influence the intention. In addition, the qualitative analysis validates and further complements the SEM findings.

Unlike the previous studies on technology adoption, this study proposed a unique research model with contextualized indicators to measure the constructs relevant to private firms, based on the TOE framework and DOI theory, to investigate the causal relationship between drivers and intention. Furthermore, the findings of PLS-SEM were complemented by qualitative analysis to validate the causation. The findings of this study have both theoretical and practical implications.

The design documents are products of a process that aims to provide sufficient details to enable the contractor to efficiently implement the project at a realistic cost. Accordingly, it is expected that these design documents must be of high quality to engender the attainment of the desired project objectives. The purpose of this study is to analyze the factors that affect the quality of design documentation in construction projects in the context of a developing country.

This study used a descriptive research design involving professionals from firms offering services in areas of design and documentation, mainly architectural, quantity surveying and engineering. A total of 80 out of 84 questionnaires were received and analyzed using IBM SPSS Statistics Version 25, and a factor analysis approach was used to categorize the factors into smaller five groups.

The factors were subsequently categorized according to size, time, staff, quality and training-related factors. Collectively, large size of the project, inadequate supervision of junior design staff, low professional fees, procurement process and system, failure to adopt quality management systems and allocation or assigning of staff to more than one project at the same time have high influence (component loading of 700) in respective groups.

The reliance on data to analyze the factors of design documents in construction projects in developing economies context, using a Tanzanian exemplar, is considered a limitation. Developing countries with similar economic characteristics, procurement systems and cultural setup could benefit from the results of this study.

The study of factors affecting quality of design and documents in construction projects serves as a guide for built environment firms in Tanzania in conducting effective business and ensuring quality design documents, hence improved project performance. Understanding the nature of relationship between the design and construction teams as well as the impact of design documents on project performance is of great importance for the design teams of future projects and other decision-makers to pay attention when preparing design and related documents, especially during design stage of construction projects in developing countries.

The study contributes the knowledge by providing useful insights on the subject through a categorization of the factors affecting the quality of design documentation and exploring the nature of relationship between the design and construction teams in construction projects within a previously unexplored Tanzanian context focusing on a traditional procurement system for future improvement of project delivery, hence project success.

The purpose of this paper is to contribute to science communication literature by further highlighting the underexplored role of organizational and corporate perspectives in science communication.

The paper takes the form of a conceptual article that uses two illustrative vignettes to highlight the power of corporate science communication.

The key argument is that corporate science communication is a compound ideology that results from merging the hegemonic corporate voice with the ultimate/god-term science (see the work of Kenneth Burke) to form a mega-ideological construct and discourse. Such communication can be so powerful that vulnerable publics and powerful advocates speaking on their behalf have little to no recourse to effectively challenge such discourse. While critiques of corporate science communication in practice are not new, what the authors offer is a possible explanation as to why such discourse is so powerful and hard to combat.

The value of this paper is in the degree to which it both sets an important applied research agenda for the field and fills a critical void in the science communication literature. This conceptual article, in the form of a critical analysis, fills the void by advocating for the inclusion of organizational perspectives in science communication research because of the great potential that organizations have, via science communication, to shape societal behavior and outcomes both positively and negatively. It also coins the terms “compound ideology” and “mega-ideology” to denote that while all ideologies are powerful, ideologies can operate in concert (compound) to change their meaning and effectiveness. By exposing the hegemonic power of corporate science communication, future researchers and practitioners can use these findings as a foundation to combat misinformation and disinformation campaigns wielded by big corporate science entities and the public relations firms often hired to carry out these campaigns.

Past research on luxury is fragmented resulting in challenges to define what the construct of luxury means. Based on a need for conceptual clarity, this study aims to map how research conceptualises luxury and its creation.

This study presents a scoping review of luxury articles published in peer-reviewed journals. Of the initial 270 articles discovered by using the database of Scopus, and after control searching in Web of Science and reference scanning, 54 high-quality studies published before the end of 2020 were found to meet the inclusion criteria and comprised the final analytical corpus.

The findings demonstrate that research approaches luxury and its creation from three different perspectives: the provider-, consumer- and co-creation perspectives. In addition, the findings pinpoint how the perspectives differ from each other due to fundamental and distinguishing features and reveal particularities that underlie the perspectives.

The suggested framework offers implications to researchers who are interested in evaluating and developing luxury studies. Based on the identified luxury perspectives, the study identifies future research avenues.

The study contributes to the luxury research stream by advancing an understanding of an existing pluralistic perspective and by adding conceptual clarity to luxury literature. It also contributes to marketing and branding research by showing how the luxury literature connects to the evolution of value creation research in marketing literature.

This examine the impact of environmental, social and governance (ESG) performance on financial reporting quality (FRQ) before and during COVID-19 in the Egyptian market.

This study uses quarterly data from 2017 to 2021 to draw conclusions, with a sample consisting of 486 firm-year observations for 27 Egyptian companies listed on the Standard and Poor’s/Egyptian Stock Exchange ESG index. This study uses both firms’ ESG scores and the Beneish Model, an earnings detection model, as proxies for FRQ. COVID-19 effects on ESG performance and FRQ were examined by using Pearson’s correlation coefficient and two-stage least squares.

COVID-19 has a significant impact on the link between ESG and FRQ. This implies that corporations with high ESG performance are less likely to manipulate earnings (having a low M-score) and thus provide high FRQ during the COVID-19 pandemic. Moreover, there is a significant positive relationship between firm size, leverage and M-Score, indicating that large firms typically present a high FRQ.

The sample size and data availability are the main research limitations. Additionally, this study only considers the effects of firms’ ESG performance on FRQ during the COVID-19 pandemic. Thus, future research should consider other factors associated with investors’ corporate social responsibility (CSR).

This research has practical implications for market regulators seeking to establish a legislative framework and enhance guidance to mandate managers to provide ESG data and CSR reports appropriate for Egypt and other developing economies in times of crisis.

Promoting the adoption of ESG practices in business, particularly during crises, has the potential to effectively provide high-quality and reliable financial reporting required for investment.

This study aspires to address notable deficiencies in the pertinent literature concerning the relationship between ESG performance and FRQ during COVID-19. To the best of the authors’ knowledge, little is known about how ESG performance changes in response to pandemics in emerging markets. To address this gap, this study examines the effects of COVID-19 on the relationship between ESG performance and FRQ in Egyptian-listed firms from 2017 to 2021.