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Lindgren, C., Huq, A., Li, Y., Elbe, J. & Carling, K. (2019). Current practices of CSR around the globe: An exploratory text mining study. In: : . Paper presented at 30th European Conference on Operational Research (EURO 30th), 23-26 June 2019, Dublin.
Öppna denna publikation i ny flik eller fönster >>Current practices of CSR around the globe: An exploratory text mining study
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2019 (Engelska)Konferensbidrag, Muntlig presentation med publicerat abstract (Refereegranskat)
Nationell ämneskategori
Företagsekonomi
Forskningsämne
Komplexa system - mikrodataanalys
Identifikatorer
urn:nbn:se:du-30276 (URN)
Konferens
30th European Conference on Operational Research (EURO 30th), 23-26 June 2019, Dublin
Tillgänglig från: 2019-06-19 Skapad: 2019-06-19 Senast uppdaterad: 2019-06-19Bibliografiskt granskad
Carling, K. (2019). On leading and making data-driven decisions, or not. In: Jay Liebowitz (Ed.), Developing Informed Intuition for Decision Making: (pp. 161-173). Taylor & Francis Group
Öppna denna publikation i ny flik eller fönster >>On leading and making data-driven decisions, or not
2019 (Engelska)Ingår i: Developing Informed Intuition for Decision Making / [ed] Jay Liebowitz, Taylor & Francis Group, 2019, s. 161-173Kapitel i bok, del av antologi (Refereegranskat)
Abstract [en]

In this chapter, I consider the cognitive biases arising in judgment under uncertainty that jeopardize good decision-making aligned with normative decision theories. This problem raises objections towards intuitive and fast decision-making. It would be appealing if training could be devised for reducing the biases, and I argue that such training is feasible. I relate best-practice in such training and advocate a number of topics to be included in such training for good, intuitive decision-making skills.

Ort, förlag, år, upplaga, sidor
Taylor & Francis Group, 2019
Serie
Data Analytics Applications
Nationell ämneskategori
Annan data- och informationsvetenskap
Forskningsämne
Komplexa system - mikrodataanalys, Allmänt Mikrodataaanalys - övrigt
Identifikatorer
urn:nbn:se:du-30686 (URN)10.1201/9780429298097 (DOI)9780367258573 (ISBN)9780429298097 (ISBN)
Tillgänglig från: 2019-09-12 Skapad: 2019-09-12 Senast uppdaterad: 2019-09-17Bibliografiskt granskad
Laryea, R., Carling, K. & Cialani, C. (2018). A Food Price Volatility Model for Country Risk Classification. International Journal of Risk Assessment and Management
Öppna denna publikation i ny flik eller fönster >>A Food Price Volatility Model for Country Risk Classification
2018 (Engelska)Ingår i: International Journal of Risk Assessment and Management, ISSN 1466-8297, E-ISSN 1741-5241Artikel i tidskrift (Refereegranskat) Submitted
Abstract [en]

Decision makers require risk models which satisfies their preferences in decision making processes. A methodological approach to presenting a decision model that satisfies the preferences of the decision maker and aids the decision maker to classify countries into crisis groups based on the price volatility of food staple criteria is discussed in this paper. The price volatility of food staples is obtained from time series plots and a Multi-Criteria Decision Analysis method, the UTilitdditives DIScriminantes (UTADIS) classification methodological framework is applied on the price volatility data to develop a food price volatility classification model which suits the decision maker’s preferences. The methodological framework is better applied in this paper by aiding the decision maker to make informed judgements on the price volatility of food staples in predefining their risk classes. This introduces efficiency in the application of the methodological classification framework, by reducing to the barest minimum level, the misclassification errors between the decision makers preferred classification and the UTADIS method’s classification which estimates the utility function or classification model and the utility threshold or cut-off points which would classify the country alternatives into their authentic or original classes with the execution of the methodological framework just once. The resulting utility function or classification model is thus accurate enough to satisfy the preferences of the decision maker in classifying future datasets.

Nationell ämneskategori
Ekonomi och näringsliv
Forskningsämne
Komplexa system - mikrodataanalys
Identifikatorer
urn:nbn:se:du-28646 (URN)
Tillgänglig från: 2018-10-01 Skapad: 2018-10-01 Senast uppdaterad: 2018-10-01Bibliografiskt granskad
Meng, X., Carling, K., Håkansson, J. & Rebreyend, P. (2018). How do administrative borders affect accessibility to hospitals? The case of Sweden. International Journal of Health Planning and Management, 33(3)
Öppna denna publikation i ny flik eller fönster >>How do administrative borders affect accessibility to hospitals? The case of Sweden
2018 (Engelska)Ingår i: International Journal of Health Planning and Management, ISSN 0749-6753, E-ISSN 1099-1751, Vol. 33, nr 3Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

An administrative border might hinder the optimal allocation of a given set of resources by restricting the flow of goods, services, and people. In this paper, we address the question: Do administrative borders lead to poor accessibility to public service? In answering the question, we have examined the case of Sweden and its regional administrative borders and hospital accessibility. We have used detailed data on the Swedish road network, its hospitals, and its geo-coded population. We have assessed the population's spatial accessibility to Swedish hospitals by computing the inhabitants' distance to the nearest hospital. We have also elaborated several scenarios ranging from strongly confining regional borders to no confinements of borders and recomputed the accessibility. Our findings imply that administrative borders are only marginally worsening the accessibility.

Nyckelord
administrative barriers, optimal location, population dynamics, public service, travel time
Nationell ämneskategori
Sannolikhetsteori och statistik
Forskningsämne
Komplexa system - mikrodataanalys
Identifikatorer
urn:nbn:se:du-27519 (URN)10.1002/hpm.2520 (DOI)000442224700014 ()29667273 (PubMedID)2-s2.0-85045844366 (Scopus ID)
Tillgänglig från: 2018-04-24 Skapad: 2018-04-24 Senast uppdaterad: 2018-09-24Bibliografiskt granskad
Rudholm, N., Li, Y. & Carling, K. (2018). How Does Big-Box Entry Affect Labor Productivity in Durable Goods Retailing? A Synthetic Control Approach. How Does Big-Box Entry Affect Labor Productivity in Durable Goods Retailing? A Synthetic Control Approach. Stockholm
Öppna denna publikation i ny flik eller fönster >>How Does Big-Box Entry Affect Labor Productivity in Durable Goods Retailing? A Synthetic Control Approach. How Does Big-Box Entry Affect Labor Productivity in Durable Goods Retailing? A Synthetic Control Approach
2018 (Engelska)Rapport (Övrigt vetenskapligt)
Abstract [en]

Using  data  from  2001–2012,  the  effects  of  IKEA  entry  in  four  Swedish  municipalities,   2004–2007,   on   labor   productivity   in   durable   goods   retailing   is   investigated  using  synthetic  control  methods.  We contribute  to  the  literature  on  synthetic   control   methods   by considering   parametric   specifications   of   the   intervention effect, which in our case arguably improves the likelihood of identifying the intervention effect of IKEA entry on labor productivity. As inference relies on a single  treated  observational  unit  (i.e.,  a  single  IKEA-entry  municipality),  statistical  testing  is  a  challenge,  and  randomization  and  replication  for  inference  is  done  with  regard to the pool of control municipalities. Our results indicate that in three out of four  entry  municipalities,  labor  productivity  increased  more  than  in  their  synthetic  counterparts after IKEA entry, and that the size of the positive effect is related to the size of the new IKEA relative to the size of the existing durable goods retail sector in the entry municipalities, with larger positive effects found in municipalities where the new IKEA was large relative to the existing durable goods retail market.

Ort, förlag, år, upplaga, sidor
Stockholm: , 2018
Serie
HUI Working Paper Series ; 130
Nyckelord
Productivity growth;Quantitative Case Study; Parametric Synthetic Matching;Bootstrap Confidence Intervals
Nationell ämneskategori
Nationalekonomi
Forskningsämne
Komplexa system - mikrodataanalys, Handel och regional tillväxt. -Kopplingen mellan regionalt tillväxtarbete och lokala etableringsstrategier.
Identifikatorer
urn:nbn:se:du-27305 (URN)
Tillgänglig från: 2018-02-23 Skapad: 2018-02-23 Senast uppdaterad: 2018-08-21Bibliografiskt granskad
Laryea, R., Carling, K., Cialani, C. & Nyberg, R. G. (2018). Sensitivity analysis of a risk classification model for food price volatility. International Journal of Risk Assessment and Management, 21(4), 374-382
Öppna denna publikation i ny flik eller fönster >>Sensitivity analysis of a risk classification model for food price volatility
2018 (Engelska)Ingår i: International Journal of Risk Assessment and Management, ISSN 1466-8297, E-ISSN 1741-5241, Vol. 21, nr 4, s. 374-382Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

A sensitivity analysis to vary the weights of an accurate predictive classification model to produce a mixed model for ranking countries on the risk of food price volatility is carried out in this paper. The classification model is a marginal utility function consisting of multiple criteria. The aim of the sensitivity analysis is to derive a mixed model to be used in ranking of country alternatives to aid in policy formulation. Since in real-life situations the data that goes into decision making could be subjected to possibilities of alterations over time, it is essential to aid decision makers to vary the weights of the criteria using both subjective and objective information to introduce imprecision and to generate relative values of the criteria with a scale to form a mixed model. The mixed model can be used to rank future relative alternative value data sets for policy formulation.

Nyckelord
risk; sensitivity analysis; multiple criteria; weights; decision maker; classification model; imprecision; uncertainty; data; price volatility
Nationell ämneskategori
Ekonomi och näringsliv Sannolikhetsteori och statistik
Forskningsämne
Komplexa system - mikrodataanalys
Identifikatorer
urn:nbn:se:du-28647 (URN)2-s2.0-85055889650 (Scopus ID)
Tillgänglig från: 2018-10-01 Skapad: 2018-10-01 Senast uppdaterad: 2018-11-12Bibliografiskt granskad
Espegren, Y., Carling, K. & Olsmats, C. (2018). Smart online grocery delivery and peri-urbanconsumers’ attitudes.
Öppna denna publikation i ny flik eller fönster >>Smart online grocery delivery and peri-urbanconsumers’ attitudes
2018 (Engelska)Rapport (Övrigt vetenskapligt)
Abstract [en]

Purpose: To explore consumers’ attitudes towards e-commerce, in particular online grocery shopping, and its delivery in non-dense areas for the purpose of designing smart last-mile solutions.

Approach: The state-of-the-art of smart e-commerce delivery in dense areas was identified by a review of the literature. It was expected that this knowledge could be transferred to non-dense areas. This prediction was examined and explored further by making use of four focus groups recruited in a Swedish mid-sized town.

Findings: Respondents were generally positive towards e-commerce, although mixed attitudes were found with regard to online grocery shopping. Further, the willingness to pay for flexible, smart and sustainable delivery was low, with a notable exception for local produce.

Originality: The knowledge acquired and solution developed in dense areas is not readily transferred to non-dense areas. There is scope for developing new Business Models for the supply chain of local produce. For the prototype testing and roll-out of smart e-commerce delivery platforms, the online local produce market is recommended.

Förlag
s. 30
Serie
Working papers in transport, tourism, information technology and microdata analysis, ISSN 1650-5581 ; 03
Nyckelord
Consumer’ attitudes, Local produce, Online shopping, Parcel handover, Route optimization, Willingness-to-pay
Nationell ämneskategori
Transportteknik och logistik
Forskningsämne
Komplexa system - mikrodataanalys, Allmänt Mikrodataaanalys - transporter
Identifikatorer
urn:nbn:se:du-28254 (URN)
Projekt
SAILOR
Tillgänglig från: 2018-07-23 Skapad: 2018-07-23 Senast uppdaterad: 2018-08-06Bibliografiskt granskad
diva2:1150975
Öppna denna publikation i ny flik eller fönster >>A comment on outlier detection and skewed distributions
2017 (Engelska)Rapport (Övrigt vetenskapligt)
Abstract [en]

It seems that a paper of mine appearing in Computational Statistics & Data Analysis (Carling, 2000) has prompted the development of outlier detection methods for highly skewed data. However, I wrote the paper in the spirit of Exploratory Data Analysis (Tukey, 1977) and I shared Tukey’s opinion, and I still hold it, that skewed data are better to be transformed for approximate symmetry prior to detection of outliers (or other data analyses).

Ort, förlag, år, upplaga, sidor
Borlänge: Högskolan Dalarna, 2017
Serie
Working papers in transport, tourism, information technology and microdata analysis, ISSN 1650-5581 ; 2017:02
Nyckelord
Box-plot, Non-Normality, Outlier rules
Nationell ämneskategori
Sannolikhetsteori och statistik
Forskningsämne
Komplexa system - mikrodataanalys, Allmänt Mikrodataaanalys - metod
Identifikatorer
urn:nbn:se:du-26447 (URN)
Tillgänglig från: 2017-10-20 Skapad: 2017-10-20 Senast uppdaterad: 2017-10-20Bibliografiskt granskad
Zhao, X., Carling, K. & Håkansson, J. (2017). An evaluation of the reliability of GPS-based transportation data. In: Proceedings of IAC in Vienna 2017: . Paper presented at IAC (International Academic Conference on Transport, Logistics, Tourism and Sport Science) in Vienna November 24-25 2017 (pp. 323-334). , Article ID IAC201711035.
Öppna denna publikation i ny flik eller fönster >>An evaluation of the reliability of GPS-based transportation data
2017 (Engelska)Ingår i: Proceedings of IAC in Vienna 2017, 2017, s. 323-334, artikel-id IAC201711035Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

GPS-based data are becoming a cornerstone for real-time transportation applications. Tracking data of vehicles from GPS receivers are however susceptible to measurement errors. The assessment of the reliability of data from GPS receiver is a neglected issue, especially in a real road network setting and in the phase after data transfer but before information identification. An evaluation method is outlined and carried out by conducting a randomized experiment. We assess the reliability of GPS-based transportation data on geographical position, speed, and elevation from three varied receivers GlobalSat BT-338X, Magellan SporTrak Pro and smart phone for three transportation modes: bicycle, car, and bus. The positional error ranging from 0158 meters, and 74% to 100% with an error within 5 meters depending on the transportation mode and route, there is also a non-negligible risk for aberrant positioning. Speed is slightly underestimated or overestimated with errors around 5km/h except for SporTrak Pro which had an error of -10 km/h. Elevation measurements are unreliable with errors bigger than 100 meters.

Nyckelord
Transportation, GPS tracking, Reliability, Road network
Nationell ämneskategori
Transportteknik och logistik Multidisciplinär geovetenskap
Forskningsämne
Komplexa system - mikrodataanalys
Identifikatorer
urn:nbn:se:du-26981 (URN)978-80-88203-04-9 (ISBN)
Konferens
IAC (International Academic Conference on Transport, Logistics, Tourism and Sport Science) in Vienna November 24-25 2017
Tillgänglig från: 2018-01-26 Skapad: 2018-01-26 Senast uppdaterad: 2018-01-26Bibliografiskt granskad
Zhao, X., Carling, K. & Håkansson, J. (2017). On assessing governmental sustainable residential planning and its alignment with residents’ and estate investors’ objectives. Borlänge: Högskolan Dalarna
Öppna denna publikation i ny flik eller fönster >>On assessing governmental sustainable residential planning and its alignment with residents’ and estate investors’ objectives
2017 (Engelska)Rapport (Övrigt vetenskapligt)
Abstract [en]

There are three key actors in forming the sustainable spatial distribution of residency in an area, (local) government, the estate investor and the resident, each with its own objective. Most urban planning studies have mainly focused on the ex-post evaluation of residential development by considering the objective of each actor separately. This paper outlines a conceptual model where the three key actors and their unique objectives are integrated with the aim of providing an ex-ante evaluation of residential development for government to make policies operational on a micro level. The methodology is implemented on a Swedish city, where sustainable residential development is in high need due to the influx of immigrants. The case study demonstrates that the model can integrate the macro and micro actors well. The model can provide noteworthy insights for the government on where the objectives of sustainability, livability and profit can be met. A sensitivity check of the parameter settings shows that the implementation of the model is robust for replication in other cities.

Ort, förlag, år, upplaga, sidor
Borlänge: Högskolan Dalarna, 2017. s. 20
Serie
Working papers in transport, tourism, information technology and microdata analysis, ISSN 1650-5581 ; 2017:01
Nyckelord
Sustainable urban development; CO2 emissions; Multi-agent system model; Urban mobility
Nationell ämneskategori
Social och ekonomisk geografi
Forskningsämne
Komplexa system - mikrodataanalys
Identifikatorer
urn:nbn:se:du-24514 (URN)
Tillgänglig från: 2017-03-08 Skapad: 2017-03-08 Senast uppdaterad: 2017-11-15Bibliografiskt granskad
Organisationer
Identifikatorer
ORCID-id: ORCID iD iconorcid.org/0000-0003-2317-9157

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