Search results

CSP (chip scale packaging) and flip chip area array technologies are emerging within the electronics packaging industry to provide solutions capable of fulfilling the technological demands of computer, telecom and consumer electronic products. However, the full potential of area array attach can only be realised if the next level of interconnect is capable of supporting the fine pitch and high I/O characteristics of emerging CSP and flip chip technology. Celestica has addressed this issue by investigating next generation printed circuit board (PCB) technology, to assess the capability of organic based laminate as a high density interconnect. This paper describes the manufacturing experiments performed to produce a laser microvia interconnect solution. The mechanical performance of the interconnect is also presented to confirm its compatibility with area array assembly.

The study investigated the effect of marketing communications’ dimensions on brand loyalty in the banking sector.

The study adopted the quantitative research approach which relied on the explanatory design due to the nature of the hypotheses tested. The convenience sampling technique was used to pull 377 customers of a branch of a commercial bank in Ghana. Furthermore, the PLS-SEM technique was deployed to assess the measurement model and test the research hypotheses.

Results show that the following dimensions of marketing communications are significant predictors of brand loyalty: direct marketing, public relations and sales promotion. The exception is advertising, which had an inverse relation with brand loyalty.

The results provide significant pointers to banks’ management that they should deploy a variety of marketing communication channels other than intensive advertising to reach and persuade customers.

The study illustrates the latest effort to extensively provide insights into how commercial banks could leverage marketing communication tools to sustain loyalty in an emerging economy that is intensively competitive.

This study aims to examine the direct effects of Green Human Resource Management (GHRM) practices on employee green behavior (EGB) in the university setting in Bangladesh and to find the indirect effects of how GHRM promotes EGB through sequentially mediating employee environmental knowledge management (EEKM) (environmental knowledge and knowledge sharing) and green self-efficacy (GSE).

For the empirical study, the researcher uses partial least squares structural equation modeling to test the proposed conceptual model built on existing literature for greening workplaces in the university in Bangladesh. The study has collected data from 288 Bangladeshi university employees using convenient sampling.

The findings that GHRM practices positively and significantly promote EGB, which captures the employee's tendencies to exercise green behavior in daily routine activities such as turning off lights, air conditioning, computers and equipment after working hours, printing on both sides, recycling (reducing, repair, reuse), disseminating good green ideas, concepts, digital skills and knowledge to peers and champion green initiatives at work. Moreover, the findings also revealed the sequential mediation of EEKM (environmental knowledge and knowledge sharing) and GSE of employees between the link GHRM and EGB. At last, the findings suggested that HR managers can implement the GHRM practices to promote green behaviors among the academic and non-academic staff of the university.

This study contributes to the field by extending knowledge of Social Cognition Theory and Social Learning Theory for greening workplaces in Bangladesh, particularly universities. Specifically, this empirical study is unique to the best of our knowledge and highlights the role of EEKM and GSE as mediation between GHRM and EGB association.

The purpose of this paper is to examine the effect of coffee production on poverty among smallholder farmers.

National Household Survey data for Uganda were triangulated with qualitative field data. A mix of propensity score matching (PSM) and quantile treatment effect techniques was employed.

The results reveal a significant effect of coffee production on poverty reduction, through incremental household consumption expenditure. Households engaged in coffee production are associated with a lower incidence of poverty. The interesting evidence suggests that coffee production is a pro-poor intervention. These findings are confirmed by qualitative assessment that reveals farmers’ welfare improved to greater extent to satisfactory levels from coffee income.

Econometrically robust strategies were employed to ensure minimal estimation bias; however, the authors are mindful of PSM limitation of selection on observables.

This paper is part of a limited body of literature that combines quantitative and qualitative assessment, a growing issue in contemporary research. In addition to employing one of the conventional impact evaluation techniques, the paper accounts for heterogeneity in the effects of coffee production.

Among the topmost challenges, limiting the transformation of conventional public–private partnership (PPP) projects to meet net-zero targets is financial risk. This challenge is more prevalent in PPP projects in developing economies like Ghana, where financial investments have dwindled due to the recent COVID-19 recession. This paper aims to assess the key financial challenges in transitioning to net-zero PPP projects in Ghana.

The research method process was set as follows. First, a review of the literature to identify the major financial risks from journal articles, project reports and documents was undertaken, followed by questionnaire development and collection of data. Finally, the analysis of 134 questionnaire data was examined with the fuzzy synthetic evaluation.

The results indicate that the following financial challenges could hinder the transition to net-zero PPP projects in the country: increasing borrowing charges to build net-zero PPP projects due to the global covid-economic recession, poor project financial management, unstable local capital market and excessive labour, health and safety costs.

Although, the study was conducted in Ghana, a country in the Sub-Saharan African region, the outcomes have significant impacts for similar developing countries in research investigations into the problem.

Assistance is provided in this study for PPP project practitioners in identifying the key financial challenges and possible strategies to mitigate them.

Towards net-zero sustainability, this study highlights the crucial financial barriers to overcome in the rapid transition to climate change and zero carbon solutions in PPP projects.

The paper presents a technique for predicting the energy consumption of unregulated energy loads (UELs) in office buildings. It also presents an approach for determining a set of optimum values required by the technique.

The proposed technique uses the optimum power drawn and optimum usage period in three modes of device operation, for the prediction. The usage modes are active mode, idle (low active) mode and off mode. The optimum powers and usage times are inserted into a linear mathematical equation to predict the energy consumption. Regarding the approach for determining the optimum values, the non-dominated sorting genetic algorithm II (NSGA-II) is applied to a range of values obtained from field measurements. The proposed prediction method and approach for determining optimum values were tested using data of energy consumption of UELs in a case study facility.

Test results show that the method for predicting the energy consumption of UELs in offices is highly accurate and suitable for adoption by energy modelers, building designers and building regulatory agencies. The approach for determining the optimum values is also effective and can aid the establishment of workable benchmark values.

A new and simple model has been developed for the prediction of unregulated energy. A method for determining a set of optimum values of power and usage periods required by the model has also been developed. Furthermore, optimum values have been suggested that can be fine-tuned for use as benchmark values. The proposed approaches are the first of their kind.

Current research on mental health in the construction industry is fragmented, making it difficult to obtain a complete picture of young construction workers’ mental health conditions. This situation adversely affects research progress, mental health-care planning and resource allocation. To address this challenge, the purpose of this paper was to identify the themes of mental health conditions among young construction workers and their prevalence by geographical location.

The scoping review was conducted using meta-aggregation, guided by the CoCoPop (condition [mental health], context [construction industry] and population [construction workers 35 years old and younger]) and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews) frameworks.

A total of 327 studies were retrieved, and 14 studies published between 1993 and 2022 met the inclusion criteria. The authors identified 13 mental health conditions and categorized them under nine themes. Mood disorders, anxiety disorders and substance-related disorders constituted the most researched themes. Studies predominantly focused on young male workers in the Global North. The prevalence estimates reported in most of the studies were above the respective country’s prevalence.

This review extends previous studies by focusing specifically on the themes of mental health conditions and giving attention to young construction workers whose health needs remain a global priority. The study emphasizes the need to give research attention to lesser-studied aspects of mental health, such as positive mental health. The need to focus on female construction workers and on homogenous sub-groups of young workers is also emphasized. The findings can guide future systematic reviews on the identified thematic areas and help to plan the development of interventions.

The purpose of the paper is to investigate the causal relationships and speed of adjustment of stock prices to changes in macroeconomic information (MEI) in Ghana from 1996 to 2018 using monthly data. The paper seeks to conduct the investigation at individual MEI level rather than the composite MEI.

Quantitative approach was used in this paper. Monthly data span of 1996–2018 was used. The delay and half-life technique was used to determine the speed with which the information resulting from the changes in the macroeconomic are evident in the stock price. Thereafter, Toda–Yamamoto Granger no-causality approach was used to examine the causal relationship amongst variables.

The paper revealed that although the market adjustment to MEI has improved, the speed is till slow. The exchange rate exhibited the slowest speed in respect of the market reaction while the market reaction to money supply was the fastest. Toda–Yamamoto Granger no-causality estimation also revealed a bi-directional causality between MEI (gross domestic product, interest rate and money supply) and stock price and uni-directional relationship flowing from MEI (the exchange rate and foreign direct investment) to stock price. The paper also found no causality between inflation and stock price.

The findings although revealed improved level of market efficiency in comparison with the earlier data, the speed of adjustment is still undesirable. Rigorous approach should be adopted for the implementation of major reforms such as alternative market so as to increase the number of share listing and to increase the scope of investors' participation to enhancing trading volume and marketability and ultimately speed up information diffusion.

The practical implication of the low level of information processing rate of Ghana Stock Exchange (averagely more than a month) is that astute investors and market analysts could employ MEI to outperform the market prior to their infusion onto the stock market.

This study is one of the few studies in the Ghanaian literature that has extended the investigation of the speed of adjustment beyond composite or aggregate macroeconomic level estimation to estimation at individual variable level. This contribution is very relevant since each macroeconomic variable has unique characteristics and require specific policy framework, it is important to consider the speed of adjustment from the perspective of each of the individual variables.

The purpose of this study is to examine the impact of environmental disclosures (END) on the corporate financial performance (CFP) of listed companies in Ghana before and during the Banking crisis (BKC) and the COVID-19 pandemic (COV).

This study used data from 16 companies listed on the Ghana Stock Exchange between 2012 and 2021. The END Index was used, which uses percentile ranking and is guided by Global Reporting Initiative guidelines. A diverse set of empirical tests were used to examine whether ENDs affect CFP during crises.

The study offered support for the stakeholder and signaling theories generally applied to the study of END. The results confirmed that ENDs have a significant positive effect on CFP measures, return on equity and earnings per share, before and during the crises. The BKC and COV had no impact on the CFP.

As Ghana is still recovering from the 2017 to 2020 BKC and COV, the findings of this study highlight the need for managers to embrace END reporting and engagement strategies to improve CFP and firm reputation.

To the best of the authors’ knowledge, this study is the first to examine the effect of END on CFP in the context of before and considering the Ghanaian BKC and COV. In addition, it is one of the few studies that investigates how ENDs affect the CFP of Ghanaian-listed firms.

This study aims to examine how the Bank of Ghana’s (BoG’s) directive on establishing a Cyber and Information Security Governance Committee (CISGC) affects banks’ financial performance (FP) and efficiency. The FP of banks is measured by return on assets (ROA) and return on equity (ROE), while efficiency is measured by operational costs to operating revenue (CIR). The study examines the CISGC’s cyber and IT expertise, committee size, meetings and female representation features.

Data from 20 universal banks in Ghana between 2019 and 2022 was used to examine the impact of the CISGC features on Bank FP and efficiency using generalized least squares regression and robustness test.

CISGC’s cyber and IT expertise has a positive impact on ROA, but no impact on ROE or CIR. Their size, meetings and female representation do not affect performance. This highlights the need for key measures to be instituted for effective cyber and information security governance.

This study has several limitations. First, the scope was initially limited to universal banks in Ghana. Future studies should cover all banks operating in Ghana.

When forming the CISGC, banks should ensure that cybersecurity expertise is represented, and that female representation is considered. Additionally, given the ongoing evolution of cybersecurity threats, banks should ensure comprehensive digitization and robust cybersecurity safeguards.

To the best of the author’s knowledge, this study is the first to investigate how CISGC impacts bank performance in Ghana following the BoG’s Cyber and Information Security directive.