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Digital Transformation (DT) initiatives often face high failure rates. The study assesses gamification’s impact on overcoming DT challenges like high failure rates, resistance to change, and lack of engagement in the news/media organizations, identifying key gamification elements driving successful transformation and increasing engagement in.

The study adopted a mixed-methods approach, utilizing an experiment with 164 participants from a single newspaper. Applying gamification techniques for five months, collecting quantitative data and qualitative survey responses. Statistical analysis assessed the impact of gamification on DT success. Thematic analysis of survey responses provided participants’ experiences.

The study demonstrated a significant positive increase in Key Data Points measuring the digital transformation in news/media organizations over 5 months, indicating a successful and sustained behavior change and increased engagement. Points, rankings, leaderboards and badges were the most impactful gamification design elements. Survey found the gamification appealing to 81% of participants, with 83.7% reporting a greater interest in learning new digital content production methods.

The experiment is conducted in one news organization, measuring key data points relevant to DT in news industry and may not be generalizable.

Empower organization struggling with DT, by introducing gamification to DT process and share findings to inspire replication across similar organization.

The research fills the literature gap in studying the effect of gamification on DT, and offers practical guidance and evidence of its power to encouraging positive behavioral changes, increasing engagement, and mitigating resistance to change.

The main objective of this paper is the assessment of the environmental impact due to accidental spills of toxic and flammable liquids on land. Different case studies of possible accidents in the State of Qatar were considered. An EPA‐based dispersion model was utilized to estimate the size and location of the dangerous clouds generated by such spills at different elapsed times. Three case studies of possible accidents in the State of Qatar involving gasoline were considered. Due to the transient nature of the dispersion processes in the case studies, the results showed clearly the phenomenon of growth and decay of the generated dangerous clouds. An interface between the dynamic results of the dispersion software and the static data of the Qatar geographical information system (GIS) allowed the immediate identification of the major landmarks affected by the considered accidents. These data would be of great help in developing an emergency evacuation plan for such accidents.

This research examines how macroeconomic variables can precisely predict bull/bear stock markets in China and Taiwan.

This paper adopts a two-state Markov switching model to characterize the bull and bear markets spanning from 1994 to 2019 and then conduct a bear stock market predictability test by running regressions between the filtered probabilities of bear markets and a series of macroeconomic variables in turn at different horizons of 1, 3, 6, 12 and 24 months.

This paper shows that inflation rates, changes in real exchange rates, and foreign currency reserve growth are key predictors of bear markets in China, while term spreads, unemployment rates and foreign reserve growth are major factors that can predict bear markets in Taiwan. Remarkably, industrial production growth does not have predictive power for bear markets, which may suggest emerging markets are driven by fund flows rather than real economic activities. Besides, the impact directions of foreign currency reserve growth are opposite, which may be due to different proportions of the financial accounts in their balance of payments.

In practical respect, this paper provides market participants the usefulness, impact direction and implications of bear market predictors when building their market-timing strategies in China and Taiwan stock markets. The government institutions may also thereby make appropriate policies to prevent huge stock market downturns and serious drawbacks.

It highlights the “fund-driven market hypothesis” and “foreign currency reserve effects” that commonly dominate Taiwan and China stock markets since both are highly affected by international funds.

The purpose of this paper is to demonstrate the viability of using bamboo hybrid fencing fertigated with grey water as a means of providing energy to rural communities in developing countries.

The paper establishes such returns by developing a decision support system (DSS) model populated with parameters obtained from literature and field data. The DSS allows for a sensitivity analysis that examines the robustness of the hybrid bio-fencing under varying scenarios and the interactions among species, management, and technological variables.

Critical variables identified include the technological efficiency, number of clumps per m2 planted and the influence of grey water on growth rates.

In the developing countries, uncertainty abounds in rural “green” interventions. Such uncertainties can be quite problematic especially for marginal communities. This research provides developmental agents with the ability to derive specific economic and environmental returns by making decisions related to species type, managerial methods, grey water treatment and energy conversion technologies. The hybrid fencing provides villagers with security without depleting scarce resources for brick and mortar (“pukka”) walls. Furthermore, the hybrid bio-fencing provides significant positive energy and financial returns.

The research demonstrates how green ventures can be audited across multiple dimensions of sustainability including economic, environmental and energy. The DSS developed here is a powerful tool as it not only provides an energy audit, but also simultaneously displays economic returns.

This paper contributes to the literature on exchange rate exposure by assessing the extent to which exchange rate risk is priced in both African emerging and developed equity markets. It examines whether this risk leads to a premium or discount in market returns. The study uses the United States and South Africa as representatives for developed and emerging economies, respectively.

The paper employs two-factor and three-factor conditional CAPM approaches with a two-stage estimation process. In the first stage, time-varying risk exposures are derived using the ICAPM model estimated through rolling regression. In the second stage, the impact of these risk exposures, particularly exchange rate risk exposure, is assessed on stock market returns using Generalized Linear Model (GLM) regression.

Unlike previous studies that suggest exchange rate risk is not necessarily priced in the equity market due to hedging, this paper finds that exchange rate risk is indeed priced in both African and developed equity markets, albeit to different extents. The African equity market demands a higher premium compared to the developed equity market.

The findings of this paper have significant implications for policymakers, asset managers, and investors. They provide insights for making more informed decisions, implementing effective risk management strategies, and fostering a more stable and appealing investment environment.

To the best of our knowledge, this is the first study to evaluate the degree of exchange rate exposure in environments characterized by high currency volatility versus those with low volatility, all within the context of the conditional ICAPM model.

The purpose of this paper is to investigate the human resource factors (rewards, training teamwork and empowerment) that affect service recovery performance (SRP) of customer service employees in life insurances companies. Life insurances industries in Malaysia are facing stiff competitions due to growing consumerism, changing consumer choices and expectations. SRP is very important aspect in the insurances firms toward retaining the customer and one of the key competitive advantages for sustainability and adding value to the organization in the future.

The data obtained from 350 customer service employees based on convenience sampling were analyzed using regression and hierarchical analysis.

There are two factors, namely, empowerment and training, affecting the SRP. The employment status moderated the relationship between reward and SRP. The limitations of this study have been noted and further research suggestions are also included that are very important for SRP.

This study has added knowledge regarding the factors that affect SRP, in general, and precisely in life insurance industries in Malaysian context.

The purpose of this paper is to improve the film stiffness of a dry gas seal (DGS) through the proper design of 3D macroscopic surface structures based on numerical study.

A novel generalized three-dimensional (3D) geometric model is proposed to characterize macroscopic surface structures of a DGS, including grooves, waviness, radial taper and step. The mathematical model is established to simulate film pressure distribution. The effect of the surface profile and groove bottom profile on the steady-state performance of DGSs at different working conditions is investigated.

The unidirectional groove surface has the largest film stiffness at different speed conditions and the largest opening force at medium and high speed, whereas the annular groove has the largest opening force at static pressure. For obtaining the maximum film stiffness, unidirectional combined variable depth groove surface when ns = 0.4 and k = 0.5 outperforms the other unidirectional groove surfaces, whereas circumferential waviness when ns = 1 and k = 1 is the best choice among annular groove surfaces.

This study proposes a novel generalized 3D geometric model to characterize macroscopic surface structures of a DGS. The optimal groove bottom profile for different surface profiles of DGS is presented.

The purpose of this paper is to investigate the physico-chemical properties of the groundwater surrounding the Solous (solid waste dumpsite) at Isheri, Lagos, Nigeria.

In total, 40 groundwater samples were collected from ten pre-determined sampling stations. Three sample stations were established before the dumpsite; three sample stations were located in the vicinity of the dumpsite in the direction of the leachate plume, while the remaining four sample stations were situated further away and acted as a control. Sampling was carried out four times during the study period (twice each in the rainy and dry seasons). The parameters measured in situ were air and water temperatures (using mercury-in-glass bulb thermometer) and pH (using pH meter). Calcium and magnesium contents were measured using the Ca-Mg indicator; sodium content was measured using the flame emission spectrophotometry and phosphate was measured using the flame photometry. The selected heavy metals (copper, iron, lead, cadmium, zinc and manganese) were measured by using the atomic absorption spectrometer. The oxygen parameters, such as dissolved oxygen, biological oxygen demand, chemical oxygen demand and organic matter, were determined titrimetrically. The data obtained were subjected to descriptive statistics and analysis of variance (ANOVA).

The results showed that many parameters had higher values in the dry season than in the rainy season. Temperature (27.75±0.95°C), alkalinity (211.37±82.78 mg/LCaCO₃), phosphate (0.30±0.07 mg/L) and sulfate (2.78±0.35 mg/L), sodium ion (41.95±18.86 mg/L), dissolved oxygen (2.98±0.57 mg/L) and COD (33.54±4.50 mg/L) had higher mean values in the dry season than in the rainy season. On the other hand, the mean values of electrical conductivity (1,224.85±370.63), nitrate (0.01±0.003 mg/L), chloride (98.76±21.58 mg/L), calcium ion (5.38±0.68 mg/L), magnesium ion (3.05±0.05 mg/L), BOD (22.37±2.20 mg/L) and pH (6.31±0.18) were higher in the rainy season than in the dry season. The heavy metals (iron 1.10±0.05 mg/L, lead 0.12±0.07 mg/L, manganese 0.01±0.004 mg/L, copper 0.15±0.003 mg/L, zinc 0.07±0.004 mg/L and cadmium 0.02±0.02 mg/L) were fairly uniform all year round. There was also a marked decline in the values as one moved away from the dumpsite.

The implication of the findings is that human health is remarkably dependent upon safe and clean drinking water. Preserving the water resources and hindering them from pollution is preferred to the treatment of polluted water and rendering it suitable for consumption. The high electrical conductivity values obtained in the groundwater samples near the dumpsites are an indication of the effect of leachate on the groundwater quality. The high concentrations of dissolved solids in the groundwater may decrease the palatability and may cause gastro-intestinal irritation in humans, and laxative effect particularly on transits.

The pollutants from the various waste components disposed at the dumpsite percolate into the ground to pollute the groundwater. The groundwater is transported in the line of flow away from the vicinity of the dumpsite to pollute the groundwater in the area. The extent of contamination level of groundwater quality due to leachate percolation depends upon a number of factors like chemical composition of leachate, rainfall, depth and distance of the well from the dumpsite. Groundwater samples of different depths and distances from dumpsites were analyzed in the present study to understand the level of a combination.

To contribute to the design of the energy service companies (ESCOs)' environment in the Mediterranean countries, mainly focusing on the constraints this company's environment face and the actions that can fulfil its needs and aims, taking also into consideration the opportunities and threats emerging from the energy liberalization and climate change.

The methodology that was followed (based in a large part on the context of two projects targeted to the Mediterranean region and funded by the European Commission) incorporated four steps, the desk analysis for energy efficiency potential in the Mediterranean, the data collection, the assessment of the constraints and the final assessment of the ESCOs' environment.

Provides information regarding the current status of ESCOs' development, in the dimensions of the ESCOs' environment (political/legal, economical/financial, social/cultural and technological), both in the European Union (EU) (Cyprus, France, Greece, Italy, Malta and Spain) and non‐EU (Algeria, Egypt, Israel, Jordan, Lebanon, Morocco, Syria, Tunisia and Turkey) Mediterranean countries.

There are no papers investigating the activation environment of ESCOs in a coherent and integrated way in the Mediterranean. This paper provides to decision makers a supportive framework for policy design and formulation of policy priorities for ESCOs development in the region.

The purpose of this paper is to formulate frameworks for the drivers and barriers of integrated sustainable solid waste management (ISSWM) with reference to conditions prevailing in India.

A multi-phased approach was adopted in this paper to come up with the conceptual framework of the drivers and barriers of ISSWM. In the first phase, drivers and barriers of ISSWM were identified based on a systematic literature review process. In the second phase, 25 experts having 15 plus years of experience in the field of sustainable development and environmental management were consulted to get their opinion. Validation and understanding of the interrelationship among the selected drivers and barriers were done based on the insights from expert interviews. And in the final phase, structural self-interaction matrix and transitive links are defined based on the expert opinion to come up with the theoretical frameworks of drivers and barriers of ISSWM.

Findings reveal the importance to have a system view point approach by giving equal importance to social, environmental and economic pillars of sustainability along with the technology component to effectively and sustainably manage the solid waste disposal. Institutional effectiveness and the robust policy and frameworks are the two variables found to have the highest driving power. Poor social values and ethics, huge population and illiteracy are the three most critical barriers faced by developing nations in achieving the sustainability practices in the solid waste management. The proposed frameworks of drivers and barriers of ISSWM will definitely help policy makers to effectively manage the sustainable waste management practices for developing economies by focusing on the key variables listed out.

One of the limitations is in the use of very limited sample size in the study. Another limitation is that total interpretive structural modeling fails to come up with the relative weightings of drivers and barriers used in the study. These limitations can be overcome by extending the research by using a semi-structured questionnaire survey with higher sample size for the empirical validation of the model.

This research will help to clearly understand the framework of drivers and barriers of variables and their hierarchical level based on the driving power and dependence. Since such articles focusing on the conceptual frameworks of drivers and barriers of ISSWM are found to be very scant, this paper will equally help academicians and waste management professionals to understand the concepts deeply, by getting answers to the fundamental questions of “what,” “why” and “how.” Developed framework of drivers explicitly shows the need to attain financial stability through the commercialization of the waste management initiatives, which will help to reduce burden on various governmental institutions. Commercialization opportunities will also help to have more successful start-up ventures in solid waste management domain that can provide improved employment opportunities and hygiene environment in the developing nations like India.

Based on the authors’ best knowledge, there is hardly any article that explicitly explains the conceptual frameworks of the drivers and barriers of ISSWM by considering the conditions prevailing in developing countries like India. And thus, this can be considered as one of the unique research attempts to build a clear conceptual framework of ISSWM. The study contributes significantly to the existing literature body by clearly interpreting the interrelationships and the driving power and dependence of variables of ISSWM.