Search results
1 – 4 of 4Sandra Flores-Ureba, Clara Simon de Blas, Joaquín Ignacio Sánchez Toledano and Miguel Ángel Sánchez de Lara
This paper aims to define the efficiency achieved by urban transport companies in Spain concerning the resources they use, considering the type of management used for…
Abstract
Purpose
This paper aims to define the efficiency achieved by urban transport companies in Spain concerning the resources they use, considering the type of management used for implementation, public-private, and size.
Design/methodology/approach
This study consisted of an analysis of the efficiency of 229 public-private urban transport operators during the period 2012–2021 using Data Envelopment Analysis, the Malmquist Index and inference estimators to determine productivity, efficiency change into Pure Technical Efficiency Change (PTECH), and scale efficiency change.
Findings
Based on the efficiency analysis, the authors concluded that of the 229 companies studied, more than 35 were inefficient in all analysed periods. Considering the sample used, direct management is considered significantly more efficient. It cannot be concluded that the size of these companies influences their efficiency, as the data show unequal development behaviours in the studied years.
Originality/value
This study provides arguments on whether there is a significant difference between the two types of management in the urban transport sector. It also includes firm size as a study variable, which has not been previously considered in other studies related to urban transport efficiency. Efficiency should be a crucial factor in determining funding allocation in this sector, as it encourages operators to optimize and improve their services.
Details
Keywords
Naman Sreen, Veenu Sharma, Safiya Mukhtar Alshibani, Steve Walsh and Giuseppe Russo
This study aims to empirically examine the influence of management control systems (MCSs) on knowledge acquisition from innovation failure (KAFIF), which further impacts…
Abstract
Purpose
This study aims to empirically examine the influence of management control systems (MCSs) on knowledge acquisition from innovation failure (KAFIF), which further impacts empowerment, creativity and organizational innovation. This study argues that enabling an MCS positively influences KAFIF, whereas controlling the use of an MCS negatively influences KAFIF. Further, KAFIF positively impacts empowerment, creativity and organizational innovation.
Design/methodology/approach
This study aims to create a comprehensive stimulus–organism–response (S-O-R) framework. This framework includes an MCS (belief, interactive, boundary and diagnostic) as a stimulus, KAFIF as an organism and creativity, empowerment and organizational innovation as responses. The data were gathered using an online survey administered to a sample of 321 employees working in India’s micro, small and medium enterprises and analyzed using partial least squares structural equation modeling.
Findings
The results indicate that there is no correlation between belief control and the acquisition of knowledge from the failure of innovation, interactive control has a positive association with KAFIF and boundary control has no relationship with KAFIF. Diagnostic control has a significant negative association with KAFIF. Further, this study found that KAFIF positively associates with empowerment, creativity and organizational innovation.
Originality/value
This study is among initial studies that examine the influence of MCSs on KAFIF, which impacts empowerment, creativity and organizational innovation. Further, it helps be one of the initial literature on studying KAFIF rather than innovation success.
Details
Keywords
Zulma Valedon Westney, Inkyoung Hur, Ling Wang and Junping Sun
Disinformation on social media is a serious issue. This study examines the effects of disinformation on COVID-19 vaccination decision-making to understand how social media users…
Abstract
Purpose
Disinformation on social media is a serious issue. This study examines the effects of disinformation on COVID-19 vaccination decision-making to understand how social media users make healthcare decisions when disinformation is presented in their social media feeds. It examines trust in post owners as a moderator on the relationship between information types (i.e. disinformation and factual information) and vaccination decision-making.
Design/methodology/approach
This study conducts a scenario-based web survey experiment to collect extensive survey data from social media users.
Findings
This study reveals that information types differently affect social media users' COVID-19 vaccination decision-making and finds a moderating effect of trust in post owners on the relationship between information types and vaccination decision-making. For those who have a high degree of trust in post owners, the effect of information types on vaccination decision-making becomes large. In contrast, information types do not affect the decision-making of those who have a very low degree of trust in post owners. Besides, identification and compliance are found to affect trust in post owners.
Originality/value
This study contributes to the literature on online disinformation and individual healthcare decision-making by demonstrating the effect of disinformation on vaccination decision-making and providing empirical evidence on how trust in post owners impacts the effects of information types on vaccination decision-making. This study focuses on trust in post owners, unlike prior studies that focus on trust in information or social media platforms.
Details
Keywords
Benjamin F. Morrow, Lauren Berrings Davis, Steven Jiang and Nikki McCormick
This study aims to understand client food preferences and how pantry offerings can be optimized by those preferences.
Abstract
Purpose
This study aims to understand client food preferences and how pantry offerings can be optimized by those preferences.
Design/methodology/approach
This study develops and administers customized surveys to study three food pantries within the Second Harvest Food Bank of Northwestern North Carolina network. This study then categorizes food items by client preferences, identifies the key predictors of those preferences and obtains preference scores by fitting the data to a predictive model. The preference scores are subsequently used in an optimization model that suggests an ideal mix of food items to stock based upon client preferences and the item and weight limits imposed by the pantry.
Findings
This study found that food pantry clients prefer fresh and frozen foods over shelf-friendly options and that gender, age and religion were the primary predictors. The optimization model incorporates these preferences, yielding an optimal stocking strategy for the pantry.
Research limitations/implications
This research is based on a specific food bank network, and therefore, the client preferences may not be generalizable to other food banks. However, the framework and corresponding optimization model is generalizable to other food aid supply chains.
Practical implications
This study provides insights for food pantry managers to make informed decisions about stocking the pantry shelves based on the client’s preferences.
Social implications
An emerging topic within the humanitarian food aid community is better matching of food availability with food that is desired in a way that minimizes food waste. This is achieved by providing more choice to food pantry users. This work shows how pantries can incorporate client preferences in inventory stocking decisions.
Originality/value
This study contributes to the literature on food pantry operations by providing a novel decision support system for pantry managers to aid in stocking their shelves according to client preferences.
Details