Sustainable management methods: performance assessment in large companies

Machado, Maria; Fortunato, Joana Alexandra Guerreiro

doi:10.1504/ijbir.2018.093522

Cited by 3 publications

(1 citation statement)

References 33 publications

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“…Thus, according to Nichita (2019: 249), "intensive economy imposes new guidelines for recognition, measurement and reporting of intangibles to ensure to foster the quality of financial reporting and reliability of accounting information for decision-making process". In fact, managerial decisions for intangibles not only result in a direct impact on the outperforming of companies but also generate certain signals to strategic investors (Machado and Fortunato, 2018;.…”

Section: Introduction and Scopementioning

confidence: 99%

Intangibles as innovative drivers for competitive businesses

Lopes

Ferreira

2021

IJBIR

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This paper aims to identify the impact of intangible resources as drivers of firms' performance and profitability, in the major technological firms in the world. Using information from the major technological firms for a four years economic period, a set of intellectual capital proxies were identified and regressed against the major performance and profitability indicators. The regression model embodies a set of knowledge-based resources intangible (e.g. goodwill, licenses and patents, software and R&D, and advertising expenses) and human capital proxies, aiming to identify potential disaggregated effects of intangibles those key performance indicators. Broadly, results suggest the existence of effective isolated effect for some variables, in particular for intangibles recognized in the financial reporting.Furthermore, this research also suggests that the capitalization of intangible resources can be associated with region and corresponding accounting standards used in the preparation of the financial reporting.

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Section: Introduction and Scopementioning

confidence: 99%

Intangibles as innovative drivers for competitive businesses

Lopes

Ferreira

2021

IJBIR

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Factors affecting consumer buying behaviour of solar water pumping system

Kumar

Hundal

Kaur³

2019

SASBE

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Purpose The purpose of this paper is to identify the factors influencing farmers’ intention to purchase solar water pumping systems (SWPS). Design/methodology/approach The research is based on primary data that have been collected from a total of 345 solar pump users from different villages and rural areas of Punjab (India). Exploratory and confirmatory factor analysis and multiple regression analysis have been used to examine the collected data. Multiple regression analysis is used to examine the identified dimensions’ impact on customer buying behaviour. Findings The results of analysis validated that consumer buying behaviour is significantly determined by cost, performance and government initiatives dimensions. However, dimensions such as eco-friendly product, information regarding product and company, environmental concern and social influence were found insignificant. Research limitations/implications The sample size has been selected on the basis of convenience sampling and sample has been taken from the rural area. Therefore, the result may not be representative of the overall population. The perception of respondents from one part may vary from another part of India. Originality/value By providing an insight into factors affecting consumer buying behaviour of SWPS, the proposed research attempts to fill the gaps in literature by conducting an empirical study on consumer buying behaviour. As the study relates to SWPS users, findings will be of additional value to solar product companies and the government.

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Exploring the Service Quality determinants of Solar Product Dealers

Kumar

Hundal

Kaur

2019

Asia-Pacific Journal of Management Research and Innovation

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The present study explored the determinants affecting service quality of solar product dealers. The study is based on primary data, collected from a total of 345 solar pump users from different villages and rural areas of Punjab. Exploratory factor analysis, confirmatory factor analysis, and paired sample t-test have been used to examine the data. Furthermore, the SERVQUAL scale has been used to measure the service quality of solar product dealers. Paired sample t-test was used to measure the users’ expectation and perception gap between service quality dimensions. The results validated that five factors namely reliability, responsiveness, assurance, empathy, and tangibility influence service quality of solar product dealers and there is no significant difference between perceptions and expectations of solar product users except for the responsiveness dimension. As far as gap analysis is concerned, the dimension ‘responsiveness’ was responsible for the highest gap score. So, perceptions of solar product users are not fully being met with their expectations.

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Sustainable management methods: performance assessment in large companies

Cited by 3 publications

References 33 publications

Intangibles as innovative drivers for competitive businesses

Intangibles as innovative drivers for competitive businesses

Factors affecting consumer buying behaviour of solar water pumping system

Exploring the Service Quality determinants of Solar Product Dealers

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