Effect of Inventory Management Activities on Retailers’ Satisfaction in Inyange Industries Limited in Gasabo District, Rwanda

This research examined the effect of inventory management activities on retailer satisfaction in manufacturing industries in Rwanda from the year of 2016 to 2021. The mixed approach of both qualitative and quantitative data were used as research design to collect results from 121 respondents from 174 who were expected as sample size of the study by the use of simple random and stratified sampling techniques. Before, the actual process of data collection the researcher pre-tested the questionnaire survey and the key informant interview, which were used later for collecting data from the field. Thus, the quantitative data were analyzed using both descriptive as percentage distribution and inferential statistics represented by multiple linear regressions. Thus, the regression coefficients demonstrated that ?1 =.241, with p=0.002 < 0.05 at sig. level of 5% which proves that IOP had a statistically positive and significant effect on the satisfaction of retailers; ?2 = .311 with p=0.001 < 0.05 at a sig. level of 5% implying that ISM had a positive and statistical significant effect on satisfaction of retailers; and ?1 = .402 with p= 0.000 < 0.05 at a sig. level of 5% implying that IDM had demonstrated a positive and statistical significant effect on retailers’ satisfaction in IIL between 2016 and 2021. The respective coefficients further indicate that 24.1 %, 31.1% and 40.2% of the variability in retailers’ satisfaction can be attributed to inventory order processing, inventory storage management and inventory distribution management respectively. The research recommends IIL to adopt JIT inventory practices all the time to avoid inventory costs while retailers need to accurately forecast demand and make orders before they experience stock-outs which affects the supply chain. It is hoped that this study will encourage IIL to sustainably adopt inventory management activities that will continue to sustain their retailer satisfaction. The study may also motivate other researchers to conduct research covering the whole country in order to improve its reliability. Keywords: Inventory Management Activities, Retailer Satisfaction, Manufacturing Industries, Rwanda

Effect of Inventory Management Activities on Retailers’ Satisfaction in Inyange Industries Limited in Gasabo District, Rwanda

This research examined the effect of inventory management activities on retailer satisfaction in manufacturing industries in Rwanda from the year of 2016 to 2021. The mixed approach of both qualitative and quantitative data were used as research design to collect results from 121 respondents from 174 who were expected as sample size of the study by the use of simple random and stratified sampling techniques. Before, the actual process of data collection the researcher pre-tested the questionnaire survey and the key informant interview, which were used later for collecting data from the field. Thus, the quantitative data were analyzed using both descriptive as percentage distribution and inferential statistics represented by multiple linear regressions. Thus, the regression coefficients demonstrated that ?1 =.241, with p=0.002 < 0.05 at sig. level of 5% which proves that IOP had a statistically positive and significant effect on the satisfaction of retailers; ?2 = .311 with p=0.001 < 0.05 at a sig. level of 5% implying that ISM had a positive and statistical significant effect on satisfaction of retailers; and ?1 = .402 with p= 0.000 < 0.05 at a sig. level of 5% implying that IDM had demonstrated a positive and statistical significant effect on retailers’ satisfaction in IIL between 2016 and 2021. The respective coefficients further indicate that 24.1 %, 31.1% and 40.2% of the variability in retailers’ satisfaction can be attributed to inventory order processing, inventory storage management and inventory distribution management respectively. The research recommends IIL to adopt JIT inventory practices all the time to avoid inventory costs while retailers need to accurately forecast demand and make orders before they experience stock-outs which affects the supply chain. It is hoped that this study will encourage IIL to sustainably adopt inventory management activities that will continue to sustain their retailer satisfaction. The study may also motivate other researchers to conduct research covering the whole country in order to improve its reliability. Keywords: Inventory Management Activities, Retailer Satisfaction, Manufacturing Industries, Rwanda

Key performance indicators for measuring performance of facilities management services in hotel buildings: a study from Sri Lanka

Purpose The concept of facilities management (FM) has been acknowledged as a novel avenue brought in to ensure productivity and customer satisfaction in the Sri Lankan hotel industry. Accordingly, performance measurement (PM) has become a crucial entity, where key performance indicators (KPIs) have become the most important instruments of PM in determining how well these FM services are performing. Unfortunately, nowadays, the service quality of hotel buildings has significantly retreated due to the absence of a proper PM system with relevant KPIs. Thus, the purpose of this study was to identify relevant KPIs to measure the performance of the FM services in Sri Lankan hotel buildings. Design/methodology/approach A mixed approach was used to conduct this study. Data were gathered through expert interviews and an expert survey. The expert interviews were conducted to identify the relevancy of KPIs that are discovered through literature review to the Sri Lankan context, and the expert survey was conducted to identify their level of importance. Collected data were analysed using content and statistical data analysis methods. Findings Empirical findings revealed that a PM system with relevant KPIs can be identified as a crucial requirement for FM services in hotel buildings in Sri Lanka to meet the customer needs successfully. Adequate and relevant KPIs are significantly vital for an effective PM system for FM services. Thus, ultimately, 68 most important KPIs have been captured amongst the generally identified KPIs, which can be used in developing a proper PM system to measure the performance of FM services in hotel buildings. Originality/value The previous studies have just focused on the PM in FM services in a general manner where a significant dearth in existing knowledge can be identified when it comes to exploring relevant KPIs for an effective PM system to be implemented in hotel buildings in Sri Lanka to measure the performance of FM services. Accordingly, the current study unveils the most important KPIs, which can be used in measuring the performance of FM services in hotel buildings. The study recommends the use of a proper PM system with identified KPIs by respective industry practitioners to enrich the performance of FM services in hotel buildings in Sri Lanka and thereby achieve the ultimate goals successfully.

Strategies of the Spanish press in the face of the Twitter algorithm change. Analysis of tweets published between 2018-2020

Twitter recently celebrated its 15th anniversary. During this period, the platform has gone through several phases, culminating in a record number of subscribers and profits in 2021. Twitter is a household name all over the world and people know what it can or cannot provide, independent of the future growth that it may experience with new investments and updates. This article aims to verify two interrelated hypotheses, namely: the Spanish press already knows how to optimise the social network Twitter, as three decades have elapsed since its launch; and, secondly, the algorithm modification implemented by Twitter in 2018 has triggered a change in the positioning of the headers studied in this social network. In order to demonstrate both, the object of analysis will be conducted by a mixed approach through quantitative statistical processes (which will study the number of impacts and retweets and likes obtained), and inductive qualitative methods such as semi-structured interviews. This multidisciplinary approach will provide a more complete and in-depth analysis of the phenomenon. The research focuses on the period between 2018 and 2020, and addresses the participation on Twitter of the four main traditional newspapers (El País, La Vanguardia, ABC and El Mundo) as well as four native digital newspapers (20 Minutos, El Español, elDiario.es and El Huffpost). The analysis comprises more than 1.5 million tweets among the eight chosen newspapers.

Languages Speak Reconciliation: An Interdisciplinary Study on the Impact of National Language in Post War Reconciliation Sri Lanka

The Role of National Language is endorsed in different contexts and it has triggered an inspirited debate within the Sri Lankan political history when its discriminatory nature policies marked a triumph of linguist nationalism. The recognition of the Sinhala language as the only National Language in Sri Lanka and its dominance, drifted both communities apart causing frustration and tension among ethnic groups, which have ultimately culminated in ethnic strife that lasted almost three decades. National Languages, hence wield as a sociopolitical tool that demands a balance among languages, recognition, and policies. Similarly, Sri Lanka, in its path to reconciliation also demands a balance among National Languages, policies, and its recognition among the communities. This study thus explores the Role of National Language in promoting social cohesion and coexistence among ethnic groups to achieve anticipated “Reconciliation” within Sri Lankan social fabric. The paper draws upon a mixed approach employing qualitative methods, including in-depth interviews. Data were gathered from interviewing 20 undergraduates from the Faculty of Social Sciences and Languages at the Sabaragamuwa University of Sri Lanka. Data were coded and analyzed using thematic analysis. Findings revealed that the recognition of National languages in their due status will make a huge impact on fostering reconciliation within Sri Lankan Society. It is further not to be confused with the Link Language as a National Language since its duty in social integration is relatively limited in the cases where the understanding of cultural, traditional, and historical attributes of an ethnic community is more pronounced especially in grappling with attitudinal problems inherited within ethnic communities.

Contribution of secondary education towards economic growth in Ngara District, Tanzania

The purpose of this study was to examine the contribution of secondary education towards economic growth in Ngara District. The study was guided by three research objectives which are; to identify the contribution of the education achieved in secondary school graduates on economic growth, to assess the relationship between secondary school education and economic growth and the last one was to analyze the challenges that face secondary education leavers in the job market. The study was guided by Human Capital Theory which was developed by Schult and Becker .The research used mixed approach technique which entails qualitative and quantitative. In qualitative, the study analyzed the findings by looking at the physical trends while quantitative, the findings were analyzed using measurements in terms of inferential statistics. From the findings, the results reveal that there is a direct connectivity between school education and practical implementation of the knowledge gained in classrooms. Moreover, the findings established that there is low contribution in education achieved in secondary-by-secondary school leavers which cannot cater for their economic income. The study recommends that the government should device friendly curriculum which is environment friendly. This will help secondary school leavers to translate their education into economic growth activities. Moreover, the secondary school leavers are advised to link what they gained in their course of schooling in order to avoid depending much on their guardians and parents.

Reflective Teachers

This study sought to investigate the Indian trainee teachers’ perception of the 21st century skills, to what extent these skills were integrated into teacher education programs, and challenges to their integration. The study followed a mixed approach comprising of both quantitative (e. g. descriptive survey) and qualitative (e.g., interview) research methods taking 500 trainee teachers from 50 teachers’ training colleges using a stratified random sampling technique. Data were analyzed descriptively and inferentially. Findings revealed that few skills were partially integrated while others were poorly integrated, significant differences were found in the ingestion of these skills between trainees of private and government teacher training colleges, and thereby, hampering the aim of making teachers reflective. The study also noted the challenges in integrating these skills that will provide a valuable reference for teacher education curriculum planning and implementation with a view of providing a holistic educational experience among trainee teachers across countries.

Risk assessment and ranking in the developing countries’ construction industry: the case of Jordan

PurposeRisk impedes the success of construction projects in developing countries due to planning in an unpredictable and poorly resourced environment. Hence, the literature suggests that practitioners are not fully aware of how important the risk identification process is. Some of the prior studies identified risks in developing countries without highlighting how they can be beneficial to the practitioners in the industry. Therefore, this study highlights this process and identifies the key risks that affect the Jordanian construction industry.Design/methodology/approachThis study adopted an exploratory sequential mixed approach, two rounds of face-to-face interviews that were conducted in Jordan among 12 experts followed by a questionnaire randomly distributed to 122 practitioners. This study utilized the relative importance index, coefficient of variation, and Mann–Whitney (U) to analyze the data. Also, the factor analysis technique was used to identify and regroup the risk factors to further understand the correlation among the risks.FindingsThe result revealed an agreement among contractors’ and consultants’ responses toward allocating risks. Furthermore, several risks can be traced back to the project communication management process, highlighting a deficiency in the process. Also, four-factor groups were established, the first group includes the risk of defective design, late decisions making by other project participants and poor coordination with the subcontractor. The second group has only the risk of corruption, including bribery at sites. The third group includes stakeholders’ financial instability and inadequate distribution of responsibilities and risks. The fourth group includes adverse weather conditions and the use of illegal foreign labor.Originality/valueSome of the prior studies identified risks in developing countries without highlighting how they can be beneficial to the practitioners in the industry.

In-Firm Planning and Business Processes Management Using Deep Neural Networks

Objective - The objective of this paper is to consider using machine learning approaches for in-firm processes prediction and to give an estimation of such values as effective production quantities. Methodology - The research methodology used is a synthesis of a deep-learning model, which is used to predict half of real business data for comparison with the remaining half. The structure of the convolutional neural network (CNN) model is provided, as well as the results of experiments with real orders, procurements, and income data. The key findings in this paper are that convolutional with a long-short-memory approach is better than a single convolutional method of prediction. Findings - This research also considers useof such technologies on business digital platforms. According to the results, there are guidelines formulated for the implementation in the particular ERP systems or web business platforms. Novelty - This paper describes the practical usage of 1-dimensional(1D) convolutional neural networks and a mixed approach with convolutional and long-short memory networks for in-firm planning tasks such as income prediction, procurements, and order demand analysis. Type of Paper - Empirical. Keywords: Business; Neural, Networks; CNN; Platform JEL Classification: C45