bluuebunny/crossref_metadata_2025_split huggingface dataset:
Systems based approach to a small scale dairy farm (Goshala): a case study
Authors: Darwai Vivek Radheshyam , Mandavgane Sachin Arvind , Lohia Prakash 
Published: April 2022

PurposeOne of the objectives of smart village is the efficient use of regional resources by local people to improve economic, social and environment conditions. Small-scale dairy farm (SDFs) exist in every village of India, contributing significantly to local economy and welfare of few families. The purpose of this work is to develop a mechanism to make SDF not only efficient but effective in operations.Design/methodology/approachA systems thinking approach is used to identify the variables influencing a SDF and develop a general framework – RAMHI (resources, alternate revenue, manpower, herd and infrastructure) comprising endogenous and exogenous variables. A representative SDF as a case study was chosen to implement RAMHI and assess its implementation feasibility and economic benefits.FindingsImplementation of RAMHI gradually improves the economic benefits of a SDF. The key performing indicators like average milk produced/day; milk revenue/fodder cost; number of successful artificial insemination (AI) of herd/number of AI of herd; milking cow/dry cow; and milking cow/total cow, increased substantially in two successive years.Originality/valueThe literature reported and discussed individual variables influencing functioning of SDF while there are few conceptual frameworks proposed, comprising not more than three variables. This paper not only presents a comprehensive generalized framework – RAMHI, which comprises five variables like resources, alternate revenue, manpower, herd and infrastructure but also explains the implementation strategy and its benefits using a case study.
Healthiness, naturalness and sustainability perception of adolescents toward chocolate snack bars
Authors: Damen Femke , Verkerk Ruud , Steenbekkers Bea 
Published: April 2022

PurposeAdolescence is a period in which autonomy grows and where children develop into independent and active consumers and a period in which their food choices are also becoming more autonomous. Snacking is known to increase during the period of adolescence and the snack choice of adolescents is often unhealthy. Therefore, the purpose of this study is to know when adolescents perceive a snack as healthy. As healthiness perception could be linked to the perception of naturalness and sustainability of a snack, these are interesting product characteristics to study as well.Design/methodology/approachSemi-structured interviews with 20 adolescents were conducted to characterize their perception of healthiness, naturalness and sustainability. Chocolate snack bars were used as a stimulus product.FindingsAll participants mentioned consuming snacks because they like them. Healthiness was seen as important but was not always a priority in adolescents' snack choices. Naturalness and sustainability were concepts which the adolescents were not aware of or did not perceive as important during snack choice. The adolescents mentioned experiencing natural products to be healthier compared to not natural products. The consequences of the discerned dimensions time, impact and effect of choices were rather limited for this target group.Originality/valueUnderstanding the healthiness, naturalness and sustainability perception of chocolate snack bars by adolescents may help to better understand drivers for adolescents' snack choices.
A conceptual model for marine oil spills management in South Africa
Authors: Sabela-Rikhotso Phindile Tiyiselani Zanele , van Niekerk Dewald , Nemakonde Livhuwani David 
Published: April 2022

PurposeTraditionally, management of disasters, particularly those emanating from environmental hazards, have been reactive with efforts focussed on technical response issues. Drawing from incident command system (ICS) theory, this paper proposes a conceptual model for managing marine oil spills in South Africa.Design/methodology/approachA qualitative biased sequential mixed-based research method was applied for this study. The technical processes undertaken in instituting a incident management system (IMS) for marine oil spills through Operation Phakisa Oil and Gas initiative were observed from November 2016 to November 2019. Preliminary findings were subsequently explored quantitatively in 54 semi-structured questionnaires conducted with experts in the marine pollution environment.FindingsFindings presented in this paper demonstrate an integrative coordination continuum with a stringent focus on coherent multi-stakeholders' incident management collaborations. Qualitative findings stipulated limitations to the efficient application of oil spill risk minimisation policies, especially in the provincial and local spheres of government. Quantitative findings established that some local municipalities have mainstreamed and have budgets for inter-organisational planning and preparedness. Regardless, several informants continue to perceive disaster risk management and offshore-related activities as “unfunded mandates”, especially where response operation and sustainable rehabilitation programmes are concerned.Originality/valueIn integrating the organisational theory and the incident command tools, the value of this study dwells in recommending a conceptual model that mainstreams inter- and intra-organisational planning, preparedness and response to the marine oil spill risk. The model is valuable because it focusses beyond the traditional emergency response tool but is fundamental in effecting adherence to reporting lines, performance standards and information integration.
Witnessing interparental violence and leader role occupancy: the roles of insecure attachment and gender
Authors: Cloutier Anika , Barling Julian 
Published: April 2022

PurposeGiven the role leaders play in organizational effectiveness, there is growing interest in understanding the antecedents of leader emergence. The authors consider parental influence by examining how witnessing interparental violence during adolescence indirectly affects adult leader role occupancy. Drawing on the work–home resources (W-HR) model, the authors hypothesize that witnessing interparental violence serves as a distal, chronic contextual demand that hinders leader role occupancy through its effects on constructive personal resources, operationalized as insecure attachment. Based on role congruity theory, the authors also predict that the relationship between attachment style and leader role occupancy will differ for women and men.Design/methodology/approachTo test the hypotheses, the authors used data from the National Comorbidity Survey Replication (NCS-R) (n = 1,665 full-time employees).FindingsAfter controlling for age, education, childhood socioeconomic status and experienced violence, results showed that the negative indirect effects of witnessing interparental violence on leader role occupancy through avoidant attachment was significant for females only, while the negative effects of anxious attachment hindered leader role occupancy across sexes.Originality/valueResults identify novel distal (interparental violence) and proximal (attachment style) barriers to leader role occupancy, showing empirical support for the life-span approach to leadership and the persistent effects of home demands on work.
Estimating the returns to education in a chronically depressed labour market: the case of Kosovo
Authors: Gashi Ardiana , Adnett Nicholas J. 
Published: April 2022

Purpose
This paper aims to investigate whether the conventional approach to estimating the private and social rates of return to education generates reliable findings when used in economies with chronically depressed labour markets.

Design/methodology/approach
Conventional techniques (the Mincer earnings function and the discounting method) are used to provide initial estimates of the private and social returns to education in Kosovo. However, this study argues that in countries with chronically depressed labour markets, such as in Kosovo, the conventional approach is likely to significantly underestimate the private and social returns from achieving a higher level of educational attainment. This study extends the estimation approach to take into account the greater probability of more highly educated Kosovars being: employed, employed in the formal and public sectors and having longer job tenure.

Findings
The extended approach to estimating rates of return to schooling generates higher private and social rates of return to education than the conventional approach. Moreover, in contrast to the findings of the conventional approach, the revised approach suggests that private and social rates of return are highest from completion of upper secondary and tertiary education.

Research limitations/implications
The results indicate that if governments in economies with chronically depressed labour markets decide upon their educational priorities based on unadjusted rates of return, then resources may be misallocated.

Originality/value
The analysis presented in this paper suggests that conventional approaches to estimating private and social rates of return to education are not suitable for use in economies with chronically depressed labour markets. In addition, the paper provides the first comprehensive analysis of the rates of return to education in Kosovo. These results are used to provide a critique of the Kosovo Government’s recent educational priorities.
Predictions through Lean startup? Harnessing AI-based predictions under uncertainty
Authors: Raneri Santo , Lecron Fabian , Hermans Julie , Fouss François 
Published: April 2022

PurposeArtificial intelligence (AI) has started to receive attention in the field of digital entrepreneurship. However, few studies propose AI-based models aimed at assisting entrepreneurs in their day-to-day operations. In addition, extant models from the product design literature, while technically promising, fail to propose methods suitable for opportunity development with high level of uncertainty. This study develops and tests a predictive model that provides entrepreneurs with a digital infrastructure for automated testing. Such an approach aims at harnessing AI-based predictive technologies while keeping the ability to respond to the unexpected.Design/methodology/approachBased on effectuation theory, this study identifies an AI-based, predictive phase in the “build-measure-learn” loop of Lean startup. The predictive component, based on recommendation algorithm techniques, is integrated into a framework that considers both prediction (causal) and controlled (effectual) logics of action. The performance of the so-called active learning build-measure-predict-learn algorithm is evaluated on a data set collected from a case study.FindingsThe results show that the algorithm can predict the desirability level of newly implemented product design decisions (PDDs) in the context of a digital product. The main advantages, in addition to the prediction performance, are the ability to detect cases where predictions are likely to be less precise and an easy-to-assess indicator for product design desirability. The model is found to deal with uncertainty in a threefold way: epistemological expansion through accelerated data gathering, ontological reduction of uncertainty by revealing prior “unknown unknowns” and methodological scaffolding, as the framework accommodates both predictive (causal) and controlled (effectual) practices.Originality/valueResearch about using AI in entrepreneurship is still in a nascent stage. This paper can serve as a starting point for new research on predictive techniques and AI-based infrastructures aiming to support digital entrepreneurs in their day-to-day operations. This work can also encourage theoretical developments, building on effectuation and causation, to better understand Lean startup practices, especially when supported by digital infrastructures accelerating the entrepreneurial process.
Global and regional externalities of the Ukrainian energy sector
Authors: Skrypnyk Andrii , Klymenko Nataliia , Voloshyn Semen , Holiachuk Olha , Sabishchenko Oleksandr 
Published: April 2022

Purpose
The purpose of this paper is to develop a methodology for assessing the effects of global and regional externalities that create traditional power generation industries and to propose a transition to a tariff strategy taking into account these consequences. The main purpose of the research is to analyze the current wholesale electricity tariffs in the energy market of Ukraine and propose their assessment taking into account external effects for other sectors of the economy.

Design/methodology/approach
At the first stage, according to observations for 2004–2019 on the amount of pollution and the cost of agricultural products in some regions of Ukraine, which is provided in 2010 prices, the impact of hazardous emissions on the cost of agricultural products was analyzed in each region. The use of panel regression allowed to combine spatial and temporal studies (12 separate areas and time interval 2004–2019). To assess the external effects of heat generation, panel regression was used, which made it possible to combine spatial and temporal data on the impact of pollution on the efficiency of agricultural production and add regional losses of agricultural business to the cost of heat generation. This paper uses optimization models to maximize the function of public utility of electricity generation, making allowances for externalities.

Findings
This research assesses the negative externalities of Ukraine's energy and confirms the need for a global transition to a low-carbon economy primarily through climate finance. The analysis revealed the presence of various influences of the factor of regional air pollution and time. The hypothesis of the existence of a negative impact of local air pollution on agricultural production has been confirmed. An increase in emissions by 1,000 tons leads to an average decrease in regional agricultural production by UAH 84 million (at the prices of 2010).

Originality/value
The optimization problem of the ratio of different types of generation is set on the basis of maximizing the function of social utility of electricity generation, taking into account external effects. The authors presented an optimization model of electricity generation, which corresponded to the state of the energy market for 2019, provides an opportunity to assess the contribution of the inverse external effects of each electricity sector and to estimate external tariffs for each electricity generation sector.
Barriers to education and employment among Arabic speaking refugee and immigrant women
Authors: Namak Shahla , Aboud Syriani Fadi , Singer Margaret , Ballard Parissa Jahromi 
Published: April 2022

Purpose
During the refugee resettlement process, women are often subject to discriminatory policies, which may put them at risk of a difficult transition. This study aims to extend and contextualize previous findings documenting the barriers Arabic-speaking refugee and immigrant women face with regards to gaining education and employment.

Design/methodology/approach
Through telephone-based surveys, the authors examined the social situations, barriers and assets to gaining education and employment among Arabic speaking refugee and immigrant women (N = 50) in North Carolina.

Findings
Findings include barriers to education and employment such as the need for childcare, English proficiency and lack of transportation. Assets include connections to the community and special skills such as cooking and sewing.

Research limitations/implications
This study has limitations such as a lack of representation among asylees, reliance on self-report and small sample size. Implications: this study’s findings have implications for community and medical providers’ efforts to assist refugees and immigrant’s women in education and employment and to close the gap in the social determinants of health as well as for research in this area. Minimizing the barriers that prevent them from learning English or attaining employment will require coordinated efforts across the local community, county and even the state.

Practical implications
The findings from this study inform research that may be relevant to other communities seeking an understanding of the social challenges faced by Arabic-speaking refugees and immigrant women, Muslim and Christian.

Originality/value
This study adds important information about the health and social lives of an understudied population. The authors’ discuss the implications of these findings for community members and health practitioners to better assist this population in a successful resettlement process.
Development of balanced scorecard for manufacturing using interpretive structural modeling and game theory
Authors: Abedian Mansour , Amindoust Atefeh , Jouzdani Javid , Hejazi Maryam 
Published: April 2022

PurposeThe purpose of the study is to assess manufacturing firm performance indicators using a reasonably comprehensive integrated BSC-Game model to empirically determine the importance of the perspectives and indicators under evaluation and the best combination of indicators.Design/methodology/approachAfter identification of manufacturing indicators of the firm, the Shapley value index is used as the solution of the cooperative game to determine the importance of the perspectives and indicators under evaluation and the best combination of indicators to facilitate the achievement of target goals.FindingsThe game theory approach is used as a technique to rank BSC perspectives of the firm's manufacturing performance. The results reveal that the customers' perspective receives the highest ranking. The knowledge sharing, new technology, customer satisfaction and sale profitability are considered as the best combination of BSC indicators.Originality/valueThe integrated BSC-Game framework, approach and outcomes can be beneficial to practitioners and researchers who aim to select the proper indicators’ policy in manufacturing performance field.
Barriers to the implementation of the UNIDO’s program for export consortia: a case study of the Iranian handmade carpet industry
Authors: Shojaei Payam , Haqbin Arash , Amin Mohammad 
Published: April 2022

Purpose
This paper aims to identify and analyze the barriers to the implementation of the United Nations Industrial Development Organization’s programxk
for export consortia in the Iranian handmade carpet industry.

Design/methodology/approach
To accomplish its objectives, the study relied on a mixed (qualitative and quantitative) research method. Primarily, unstructured interviews were conducted to identify the effective barriers. Then, the validity of the barriers identified was evaluated through content validity ratio analysis. Finally, the interrelationships between the barriers were determined using the rough decision-making trial and evaluation laboratory technique (DEMATEL).

Findings
Results revealed that “a lack of leadership,” “a traditional business environment” and “a lack of awareness of consortium benefits” were the most significant causal barriers. Meanwhile, the most important effect barriers were “a lack of long-term vision,” “a lack of business ethics” and “a lack of motivation.”

Practical implications
The findings and results could help the stakeholders of the handmade carpet industry in Iran to improve existing export consortium programs, increasing the country’s share in the global markets in this industry.

Originality/value
This investigation seeks to fill an existing gap in the literature on export consortium formation in the handmade carpet industry by providing a network of barriers for the first time.
Design, integration and implementation of crypto cores in an SoC environment
Authors: Pandey Jai Gopal , Gupta Sanskriti , Karmakar Abhijit 
Published: April 2022

Purpose
The paper aims to develop a systematic approach to design, integrate, and implement a set of crypto cores in a system-on-chip SoC) environment for data security applications. The advanced encryption standard (AES) and PRESENT block ciphers are deployed together, leading to a common crypto chip for performing encryption and decryption operations.

Design/methodology/approach
An integrated very large-scale integration (VLSI) architecture and its implementation for the AES and PRESENT ciphers is proposed. As per the choice, the architecture performs encryption or decryption operations for the selected cipher. Experimental results of the field-programmable gate array (FPGA) and application-specific integrated circuit (ASIC) implementations and related design analysis are provided.

Findings
FPGA implementation of the architecture on Xilinx xc5vfx70t-1-ff1136 device consumes 19% slices, whereas the ASIC design is implemented in 180 nm complementary metal-oxide semiconductor ASIC technology that takes 1.0746 mm2 of standard cell area and consumes 14.26 mW of power at 50 MHz clock frequency. A secure audio application using the designed architecture on an open source SoC environment is also provided. A test methodology for validation of the designed chip using an FPGA-based platform and tools is discussed.

Originality/value
The proposed architecture is compared with a set of existing hardware architectures for analyzing various design metrics such as latency, area, maximum operating frequency, power, and throughput.
Can mild cognitive impairment with depression be improved merely by exercises of recall memories accompanying everyday conversation? A longitudinal study 2016-2019
Authors: Gong Chang-Hoon , Sato Shinichi 
Published: April 2022

Purpose
The purpose of this study is to find out a simple cognitive intervention method to use MCI and suffering people with depression. As the elderly society increases around the world, the number of elderly people with diseases and dementia is increasing rapidly. Mild cognitive impairment (MCI), a pre-stage to dementia, is a critical treatment time to slow disease progression. However, there is currently no appropriate medication. Furthermore, MCI patients with depression are more difficult to treat.

Design/methodology/approach
To overcome these problems, the authors confirmed improvements and delayed effects in MCI patients in this study for three years through cognitive intervention, demonstrating its effectiveness. Cognitive interventions were conducted for memory retrieval and steadily stimulated the brain by performing tasks to solve problems during daily conversations.

Findings
As a result, the intervention group retained mini-mental state examination and Montreal cognitive assessment scores on the domains of cognitive function and also instrumental activities of daily living in the domain of motion compared to the non-intervention group. Moreover, significant improvements in geriatric depression scales-15 and quality-of-life scales enabled the patients to maintain stable living compared to before the intervention. In addition, the intervention group showed a change in patterns that allowed them to voluntarily devote time to going out at the end of the study.

Research limitations/implications
This study was originally planned to compare the rates of transmission from MCI to dementia by tracking over five years (2016–2021). However, due to the impact of COVID-19, which began to spread around the world in 2020, further face-to-face visits and cognitive intervention became impossible. Thus, only half of the data in the existing plans were collected. Although it is difficult to present accurate results for the rate of transmission from MCI to dementia, the tendency was confirmed, indicating sufficient implications as an intervention.

Originality/value
This study was originally planned to compare the rates of transmission from MCI to dementia by tracking three years (2016–2019). The authors had studied for long-term effect.