bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reconciling access to information and political party funding in Malawi: a comparative analysis of legislation
Authors: Mapulanga Patrick , Eneya Dorothy Doreen , Chiweza Diston Store 
Published: October 2021

Purpose
The purpose of this paper was to assess the similarities and differences between the Political Parties and the Access to Information Acts in Malawi. While political parties are largely funded by donations that are frequently kept as a secret, the Access to Information Act does not include political party funding among the categories of non-disclosed information.

Design/methodology/approach
This paper is based on the qualitative content analysis of the legislation in Malawi. Content analysis of the two pieces of legislation was adopted. This paper is a review of the literature and an examination of Malawi's Political Parties and Access to Information Acts. The document study was supplemented by a review of related literature on the two legislations.

Findings
The Political Parties Act prohibits the government, ministries and departments from directly or indirectly funding political parties. The Access to Information Act to ensure information generated by Malawi government ministries, departments and agencies is readily made available by the citizens when needed or requested. The Access to Information Act does not exempt political parties from disclosing their funding sources. The two acts work in tandem to promote accountability and transparency in political party funding and sources.

Research limitations/implications
This study is limited to Malawi's Political Parties and Access to Information Acts. Only the South African related acts have informed the paper. However, several acts within developing countries would have greatly aided the paper.

Practical implications
The implementation of the two pieces of legislation has implications for the balance between disclosure and non-disclosure of political party funding. Oversight functions and credible human resource capacity are needed in both political parties and government enforcement institutions.

Social implications
Oversight functions by the Administrator-General through the Registrar of Political Parties and the Malawi Human Rights Commission are key to the implementation of Malawi's Political Parties and Access to Information Acts, respectively. Proper enforcement of the oversight functions is expected to result in an open, transparent and accountable Malawian society.

Originality/value
Various players are needed in the accountability chain to protect disclosure and non-disclosure of information. Very little information is known on the powers, functions and duties of office bearers capable of enforcing legislation to keep political parties' funding clean. Little is known on how the citizens can access information regarding political parties funding.
A critical review of moderation analysis in tourism and hospitality research toward robust guidelines
Authors: Rasoolimanesh S. Mostafa , Wang Mingzhuo , Mikulić Josip , Kunasekaran Puvaneswaran 
Published: October 2021

Purpose
This article aims to propose guidelines to develop moderation hypotheses, assess moderators using the multigroup analysis and interaction effect approaches and interpret the results of moderation analysis in tourism and hospitality research.

Design/methodology/approach
Through a review of 600 articles published in top tourism and hospitality journals from the year 2016 to 2020, and reviewing the literature related to moderation analysis, this study identifies key issues in different steps of moderation analysis and proposes robust guidelines to aid future research.

Findings
The results of the systematic review uncovered some key issues in different steps of moderation analysis, such as hypothesis development, moderation assessment and results interpretation. The findings emphasized the typical methodological misconceptions and improper practices for moderation analysis.

Research limitations/implications
Moderation analysis is of great significance to the advancement of theory, and its application has increased significantly in recent years. However, many studies appear to have a limited understanding of moderation analysis and follow questionable practices regarding hypothesis development, moderation assessment and results interpretation, thus leading to suspicious conclusions for theory advancement. By highlighting these methodological issues, this article provides robust guidelines for moderation analysis, which is of great theoretical and methodological significance to the academic research in tourism and hospitality.

Originality/value
As one of the first studies to provide robust guidelines for moderation analysis, based on a critical and systematic review of papers published in top-tier journals in tourism and hospitality and the latest developments on moderation analysis in the wider literature, this article has important theoretical and methodological significance for the academic research in tourism and hospitality as well as general social science disciplines.
Examining restaurant purchase intention during crises: the role of message appeal
Authors: Kim Minji , Kim Eun Joo , Bai Billy 
Published: October 2021

Purpose
This paper aims to examine the joint role of the pandemic-induced source of crisis (i.e. health and social crisis) based on Maslow’s Hierarchy of Needs and message appeal in customer perception of and behavioral intention toward a restaurant.

Design/methodology/approach
This study uses a 2 (source of crisis: social, health) × 2 (message appeal: social, health) between-subjects factorial design. A total of 181 samples was collected and data was analyzed by using ANCOVA and PROCESS.

Findings
The results showed a significant two-way interaction between source of crisis and message appeal on to-go intention. With the potential effect of risk aversion being controlled, message appeal significantly impacted perceived competence, which influenced both dine-in and to-go intentions.

Practical implications
The research findings suggest a crucial role of perceived fit between message appeal and customer concerns during crises. Therefore, restaurant managers should actively communicate their safety practices with their customers to inspire customer confidence.

Originality/value
This study identifies crisis dimensions based on human needs during crises such as the COVID-19 pandemic, which determines the persuasiveness of marketing messages.
Delivering warmth and expediting love: just-in-time CSR in the midst of COVID-19 mega disruption
Authors: Lin Zhiwei (CJ) , Wong IpKin Anthony , Lin Shuyi Kara , Yang Yun 
Published: October 2021

PurposeThis study aims to move beyond the current understanding of corporate social responsibility (CSR) to propose the concept of just-in-time (JIT) CSR as a metaphor that reflects hospitality operators’ endeavors to expedite socially responsible measures to both internal and external organizational stakeholders during times when functional and emotional supports are urgently needed.Design/methodology/approachThis research used a qualitative approach in two studies. Study 1 engaged a media analysis to better grasp the knowledge of the research problem at hand. Study 2 involved interviews from stakeholders to assess their emotions and perceptions of meanings of major contents discerned from the first study.FindingsThis research highlights a process in which operators’ CSR practices (e.g. for business practices, for organizational strategy and for stakeholder well-being) during the COVID-19 crisis are imbued with connotative meanings (e.g. place-as-safety, place-as-partnership and place-as-warmth) that ultimately give shape to three core outcomes (e.g. individual rejoinder, brand resonance and societal resilience).Research limitations/implicationsWhile JIT CSR is not an antidote for all devastations caused by COVID-19, it is posited as a needed mechanism that operators could use to ameliorate the situation and to go beyond their own stake to bring a broader array of societal benefits to humanity.Originality/valueThis research underscores how hospitality operators expedite crisis responses to the pandemic, and how their societal objectives transform the image of a place from a commercial venue into a place imbued with meaning associated with safety, partnership and warmth.
Valuation of short-lived firms following waves of new listings
Authors: Saito Yoshie 
Published: October 2021

PurposeThe survival rate of newly listed firms is low, and there is evidence of a surge of poorly performing new listed firms leading up to the crash of the dot.com bubble. The author investigates this phenomenon and analyzes investors' ability to understand the quality of accounting information and to adjust their expectations.Design/methodology/approachThe author employs the dividend discount model in conjunction with clean surplus accounting discussed by Ohlson (1995) to compare the value relevance of earnings and research and development (R&D) expenditures for short and longer listed National Association of Security Dealer Automated Quotations (NASDAQ) firms between 1980 and 2014. The author also uses univariate tests and logistic regression to analyze both recently listed and short-listed firms. In this analysis, the author compares the differences in investors' expectations for the first five years for both types of firms.FindingsThe author provides convincing evidence that markets clearly placed lower valuation weights on accounting earnings and R&D expenditures for short-listed firms on NASDAQ. Market participants originally had high expectations for these ventures. But, they gradually understood the lower quality of accounting information and adjusted their expectations downward.Originality/valueThe author’s results show that optimistic expectations along with easy equity financing created a surge of new listings. My analysis of the interplay between the quality of accounting information and investors' expectations indicates a negative spillover effect where investors are overoptimistic about firms that rode on waves of new listings backed by liberal financing. The author shows that analysis of Tobin's Q and negative earnings can separate ill-prepared from longer-listed firms.
Does the perceived efficiency of the HR department matter in influencing satisfaction and employee performance?
Authors: Dhir Swati , Chakraborty Tanusree 
Published: October 2021

PurposeThis paper aims to understand the role of perception of HR capability, HR service quality, along with HR inducements, which, in turn, provides satisfaction with HR practices and affects employee performance.Design/methodology/approachThe data of 155 managers have been collected through a questionnaire to understand the relationship among the studied constructs using partial least square structured equation modeling (PLS-SEM).FindingsThe results suggest that employers should attempt to create a positive perception by providing quality services in the HR domain, and quality services will certainly enhance employee performance.Originality/valueThis study is unique in terms of its contribution. This study has tried to link service quality and satisfaction to HR practices with employee performance. Further, it also shows that HR should be capable and have high HR inducements to provide the necessary and expected HR services, which leads to employee satisfaction with HR practices and employee performance.
Rice planting technologies and farm performance under different production systems in Ghana
Authors: Amfo Bismark , Abdul-Rahaman Awal , Issaka Yakubu Balma 
Published: October 2021

PurposeThis paper examines the performance of smallholder rice farms established using improved planting technologies – broadcasting, dibbling and transplanting – under different production systems – rain-fed and irrigation – in Ghana.Design/methodology/approachUsing recent cross-sectional data of 200 smallholder rice farmers from the upper east region of Ghana, this study employed multinomial logit model and descriptive and inferential statistics for the analysis.FindingsThe results revealed that rice production under irrigation system contributes significantly to increasing farm productivity and profitability. Rice farmers who adopted dibbling and transplanting technologies under both irrigation and rain-fed production system obtained higher productivity and profitability than those who used broadcasting technology. Adoption of improved rice planting technologies by smallholder farmers is significantly influenced by education, farm size, improved rice varieties, sales outlets, hired labour and percentage of paddy sold.Research limitations/implicationsThe sample size is relatively small, even though findings are still very important in terms of policy formulation for improved smallholder farm performance in a developing country like Ghana.Practical implicationsThis study calls for collaborative efforts by government, donor agencies and NGOs to establish irrigation facilities and/or expand existing ones, increase sensitization and dissemination of improved planting technologies, as well as intensify the input subsidy programme in Ghana.Originality/valueTo the best of the authors knowledge, this is the first study that focuses on farmers' choice of rice planting technologies under irrigation and rain-fed production systems, and how these technologies impact on smallholder farm performance in Ghana.
Examining the determinants of small firms' performance in India
Authors: Sinha Abhishek Kumar , Mishra Aswini Kumar , RL Manogna , Prabhudesai Rohit 
Published: October 2021

PurposeThe objective of the study is to analyse the impact of research and development investment on the firm performance of “small” scale firms vis-a-vis “medium”-scale firms.Design/methodology/approachThe dataset comprised of a balanced panel of 486 research and development conducting Indian manufacturing small and medium enterprises, constructed for the period of 2006–2017. Fixed Effects, Random Effects Model and Hausmann test were used to analyse the determinants of firm performance in manufacturing small and medium enterprises in India.FindingsIt was found that from firms’ research and development (R&D) investments in terms of performance could be attained if simultaneously internationalisation and higher capital intensity could be achieved.Practical implicationsManagers could pay specific attention to the antecedents of firm performance and calibrate their R&D investment, internationalisation efforts and capital intensity simultaneously to achieve higher growth and productivity. For policymakers, the results provide an insight into how the firms in both categories could be differently incentivised, such that resources are better utilised.Originality/valueThe study analysed the determinants of firm performance in small and medium-sized firms at a disaggregate level as well as at a sectoral level using fixed effects, random effects and lagged effects to arrive at novel results, which have important implications for their competitiveness.
Bootstrap beta control chart for monitoring proportion data
Authors: Chowdhury Shovan , Kundu Amarjit , Modok Bidhan 
Published: October 2021

PurposeAs an alternative to the standardpandnpcharts along with their various modifications, beta control charts are used in the literature for monitoring proportion data. These charts in general use average of proportions to set up the control limits assuming in-control parameters known. The purpose of the paper is to propose a control chart for detecting shift(s) in the percentiles of a beta distributed process monitoring scheme when in-control parameters are unknown. Such situations arise when specific percentile of proportion of conforming or non-conforming units is the quality parameter of interest.Design/methodology/approachParametric bootstrap method is used to develop the control chart for monitoring percentiles of a beta distributed process when in-control parameters are unknown. Extensive Monte Carlo simulations are conducted for various combinations of percentiles, false-alarm rates and sample sizes to evaluate the in-control performance of the proposed bootstrap control charts in terms of average run lengths (ARL). The out-of-control behavior and performance of the proposed bootstrap percentile chart is thoroughly investigated for several choices of shifts in the parameters of beta distribution. The proposed chart is finally applied to two skewed data sets for illustration.FindingsThe simulated values of in-control ARL are found to be closer to the theoretical results implying that the proposed chart for percentiles performs well with both positively and negatively skewed data. Also, the out-of-control ARL values for the percentiles decrease sharply with both downward and upward small, medium and large shifts in the parameters. The phenomenon indicates that the chart is effective in detecting shifts in the parameters. However, the speed of detection of shifts varies depending on the type of shift, the parameters and the percentile being considered. The proposed chart is found to be effective in comparison to the Shewhart-type chart and bootstrap-based unit gamma chart.Originality/valueIt is worthwhile to mention that the beta control charts proposed in the literature use average of proportion to set up the control limits. However, in practice, specific percentile of proportion of conforming or non-conforming items should be more useful as the quality parameter of interest than average. To the best of our knowledge, no research addresses beta control chart for percentiles of proportion in the literature. Moreover, the proposed control chart assumes in-control parameters to be unknown, and hence captures additional variability introduced into the monitoring scheme through parameter estimation. In this sense, the proposed chart is original and unique.
Impact of socio and demographic factors on multidimensional poverty profile of smallholder arable crop farmers – evidence from Nigeria
Authors: Aminu Raheem Olatunji , Si Wei , Ibrahim Shakirat Bolatito , Arowolo Aisha Olushola , Ayinde Adefunke Fadilat O. 
Published: October 2021

PurposeThis paper evaluates the impact of socio and demographic factors on the multidimensional poverty of smallholder arable crop farming households in Nigeria.Design/methodology/approachData were drawn from the second wave of the LSMS-Integrated Surveys on Agriculture General Household Survey Panel 2012/2013. The methods adopted in analysing the data were descriptive statistics, Alkire and Foster Method (AFM) and logit regression model.FindingsThe result shows that 84.34% of the households were headed by a male while 80.26% of the respondents were married with a mean household size of seven persons. The multidimensional poverty of arable crop farm households in Nigeria is 0.60, while the adjusted headcount ratio (MPI) is 0.27, with an average intensity of 0.45. We found that deprivation in the dimension of living standard accounted for 45.5% of the overall multidimensional poverty index (MPI). The result of the logistic regression indicates that household location, gender, household size and non-farm income are negatively correlated to poverty. The factors that increase poverty among households are the age of the household head and access to extension services.Originality/valueThe study presents an alternative means of assessing poverty among smallholder arable crop farming households in Nigeria. This study recommends that policymakers should focus more on improving the living standard of arable crop farming households to reduce poverty in rural areas. Similarly, concerted efforts should be made towards providing adequate health care and improved sanitation, supply of electricity and educational training that goes beyond primary education for farming household members.
Forecasting the risk at infractions: an ensemble comparison of machine learning approach
Authors: Li Lei , Wu Desheng 
Published: October 2021

PurposeThe infraction of securities regulations (ISRs) of listed firms in their day-to-day operations and management has become one of common problems. This paper proposed several machine learning approaches to forecast the risk at infractions of listed corporates to solve financial problems that are not effective and precise in supervision.Design/methodology/approachThe overall proposed research framework designed for forecasting the infractions (ISRs) include data collection and cleaning, feature engineering, data split, prediction approach application and model performance evaluation. We select Logistic Regression, Naïve Bayes, Random Forest, Support Vector Machines, Artificial Neural Network and Long Short-Term Memory Networks (LSTMs) as ISRs prediction models.FindingsThe research results show that prediction performance of proposed models with the prior infractions provides a significant improvement of the ISRs than those without prior, especially for large sample set. The results also indicate when judging whether a company has infractions, we should pay attention to novel artificial intelligence methods, previous infractions of the company, and large data sets.Originality/valueThe findings could be utilized to address the problems of identifying listed corporates' ISRs at hand to a certain degree. Overall, results elucidate the value of the prior infraction of securities regulations (ISRs). This shows the importance of including more data sources when constructing distress models and not only focus on building increasingly more complex models on the same data. This is also beneficial to the regulatory authorities.
The effect of knowledge management capacity on firm performance through sequential mediations of strategic HRM, administrative and technical innovations
Authors: Chawla Arshinder Singh , Kundu Subhash C. , Kumar Sandeep , Gahlawat Neha , Kundu Homesh 
Published: October 2021

Purpose
This study aims to explore the relationship between knowledge management (KM) and firm performance through mediating effects of strategic human resource management (HRM) and organizational innovations.

Design/methodology/approach
Usable responses from 638 employees belonging to 230 organizations operating in India were collected via questionnaires. To determine the hypothesized relationships between the study variables, namely, KM capacity, strategic HRM, administrative innovation, technical innovation and firm performance, bootstrapping method via PROCESS was put into use.

Findings
The findings strengthen the notion that effective KM in firms leads to better innovation capabilities and higher firm performance. Further, the study reveals that the effects of KM capacity on firm performance go through a relationship chain (serial mediation) consisting of strategic HRM, administrative innovation and technical innovation.

Practical implications
The results undeniably infer that the effective management of knowledge is critical for leveraging innovations and other performance indicators in organizations. More specifically, it does not only result in enhanced firm performance but also in proper utilization of strategic HR practices for the benefits of employees, with a boost in administrative and technical innovations in organizations.

Originality/value
By confirming several mediation paths through strategic HRM, administrative and technical innovations, this study offers some noteworthy insights in expounding the relationship between KM and firm performance.