The Interface Between Marketing and Sales: The State of the Art and a Research Agenda

Marketing ZFP ◽  
2021 ◽  
Vol 43 (1-2) ◽  
pp. 9-22
Author(s):  
Sören A. Radtke ◽  
Marian E. Paul
Keyword(s):  
Empirical Research ◽  
Research Agenda ◽  
Business Performance ◽  
State Of The Art ◽  
The State ◽  
Future Research ◽  
High Quality

Marketing and sales often have to work hand in hand. Therefore, several studies have investigated the drivers and consequences of the quality of cooperation between the two departments. We review empirical research on the effect of the quality of cooperation on business performance and on the drivers of the quality of cooperation, to achieve two objectives. First, we summarise the most important findings on the marketing–sales interface in a compact and structured way to give guidance to managers on how to facilitate high-quality cooperation. Second, we identify the major gaps in the literature and outline a research agenda with suggestions for future research on how to address them.

scholarly journals Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning

2019 ◽  
Vol 33 ◽  
pp. 6722-6729 ◽  
Author(s):  
Ziming Li ◽  
Julia Kiseleva ◽  
Maarten De Rijke
Keyword(s):  
Reinforcement Learning ◽  
State Of The Art ◽  
The State ◽  
Experimental Results ◽  
Imitation Learning ◽  
Local Optimum ◽  
Inverse Reinforcement Learning ◽  
High Quality ◽  
Overall Performance

The performance of adversarial dialogue generation models relies on the quality of the reward signal produced by the discriminator. The reward signal from a poor discriminator can be very sparse and unstable, which may lead the generator to fall into a local optimum or to produce nonsense replies. To alleviate the first problem, we first extend a recently proposed adversarial dialogue generation method to an adversarial imitation learning solution. Then, in the framework of adversarial inverse reinforcement learning, we propose a new reward model for dialogue generation that can provide a more accurate and precise reward signal for generator training. We evaluate the performance of the resulting model with automatic metrics and human evaluations in two annotation settings. Our experimental results demonstrate that our model can generate more high-quality responses and achieve higher overall performance than the state-of-the-art.

Environmental training: a systematic review of the state of the art of the theme

2019 ◽  
Vol 27 (7) ◽  
pp. 2048-2076 ◽  
Author(s):  
Nelson Oliveira Stefanelli ◽  
Adriano Alves Teixeira ◽  
Jorge Henrique Caldeira De Oliveira ◽  
Marco Antonio Ferreira ◽  
Simone Sehnem
Keyword(s):  
Systematic Review ◽  
Environmental Management ◽  
Research Agenda ◽  
Management Practices ◽  
State Of The Art ◽  
Developed Countries ◽  
The State ◽  
Future Research ◽  
Maturity Stage ◽  
Content Type

Purpose The purpose of this paper is to carry out a systematic review of the state of the art of the environmental training theme and to propose a research agenda to shed light on this subject by suggesting new research in the area. Design/methodology/approach This is a systematic review of the state of the art of the environmental training theme. Findings The authors’ main contribution is the proposal of a research agenda with 11 recommendations for future research, such as conducting research in developed countries; research focusing only on environmental training; qualitative research using case studies; research that explores the co-evolution of environmental training practices with environmental management practices and with the maturity stage of environmental management in organizations; and research that addresses all aspects of environmental training phases proposed by ISO 10015: 2001. Originality/value This is the most recent research which conducts a systematic review of the state of the art on environmental training and proposes a research agenda with several suggestions that can guide researchers in human resources, environmental management, sustainability and supply chain management.

Roller Hemming Simulation: State of the Art and Application Limits

2014 ◽  
Vol 611-612 ◽  
pp. 1062-1070 ◽  
Author(s):  
Reimund Neugebauer ◽  
Welf Guntram Drossel ◽  
Markus Rössinger ◽  
Alexander Eckert ◽  
Benjamin Hecht
Keyword(s):  
State Of The Art ◽  
The State ◽  
Numerical Results ◽  
Experimental Results ◽  
Future Research ◽  
Process Chain ◽  
Car Body

The presented study applied the state of the art in roller hemming simulation on a car body assembly. Corner areas with changing flange lengths are always challenging in case of reaching the quality demands. Thus, the numerical results like e.g. springback, hem thickness, roll-in and hemming geometry are compared to experimental results. It is shown that the quality of prediction depends on the system stiffness of the roller hemming device, the geometrical contour of the car body assembly and the consideration of steps in the process chain like stamping and flanging. Finally, the gained cognitions point out challenges for future research in this topic.

State Capacity, Quality of Government, Sequencing, and Development Outcomes

2021 ◽  
pp. 756-780
Author(s):  
Michelle D'Arcy ◽  
Marina Nistotskaya
Keyword(s):  
Recent Progress ◽  
Final Section ◽  
State Of The Art ◽  
State Capacity ◽  
The State ◽  
Future Research ◽  
Public Goods Provision ◽  
Pros And Cons ◽  
Development Outcomes

This chapter provides a review of the state capacity and institutional sequencing literatures. It begins with a discussion on the conceptualization of the notion of state capacity, examining the pros and cons of the existing conceptual approaches with regard to measurement and inference. It also surveys the existing empirical indicators, highlighting recent progress in this area, particularly relating to measures of informational capacity and territorial reach. The chapter proceeds with a review of the scholarly debate about institutional sequencing, considering the theoretical arguments and empirical evidence of both the “state first” and “democracy first” literatures. This is followed by an assessment of the existing evidence of the effects of state capacity on economic development and public goods provision. The final section summarizes the state of the art, reflecting on challenges and outlining possible avenues for future research.

UBAR

2021 ◽  
Vol 20 (3) ◽  
pp. 1-25
Author(s):  
Elham Shamsa ◽  
Alma Pröbstl ◽  
Nima TaheriNejad ◽  
Anil Kanduri ◽  
Samarjit Chakraborty ◽  
...  
Keyword(s):  
Resource Management ◽  
Quality Of Experience ◽  
State Of The Art ◽  
State Of Charge ◽  
User Preference ◽  
Management Approach ◽  
High Quality ◽  
Trade Off ◽  
Run Time

Smartphone users require high Battery Cycle Life (BCL) and high Quality of Experience (QoE) during their usage. These two objectives can be conflicting based on the user preference at run-time. Finding the best trade-off between QoE and BCL requires an intelligent resource management approach that considers and learns user preference at run-time. Current approaches focus on one of these two objectives and neglect the other, limiting their efficiency in meeting users’ needs. In this article, we present UBAR, User- and Battery-aware Resource management, which considers dynamic workload, user preference, and user plug-in/out pattern at run-time to provide a suitable trade-off between BCL and QoE. UBAR personalizes this trade-off by learning the user’s habits and using that to satisfy QoE, while considering battery temperature and State of Charge (SOC) pattern to maximize BCL. The evaluation results show that UBAR achieves 10% to 40% improvement compared to the existing state-of-the-art approaches.

Towards Interconnected Blockchains

2021 ◽  
Vol 54 (7) ◽  
pp. 1-39
Author(s):  
Ankur Lohachab ◽  
Saurabh Garg ◽  
Byeong Kang ◽  
Muhammad Bilal Amin ◽  
Junmin Lee ◽  
...  
Keyword(s):  
State Of The Art ◽  
The State ◽  
Future Research ◽  
Missing Link ◽  
Layered Architecture ◽  
Blockchain Technology ◽  
Wide Scale ◽  
Effective Development ◽  
Insight Into ◽  
Game Changer

Unprecedented attention towards blockchain technology is serving as a game-changer in fostering the development of blockchain-enabled distinctive frameworks. However, fragmentation unleashed by its underlying concepts hinders different stakeholders from effectively utilizing blockchain-supported services, resulting in the obstruction of its wide-scale adoption. To explore synergies among the isolated frameworks requires comprehensively studying inter-blockchain communication approaches. These approaches broadly come under the umbrella of Blockchain Interoperability (BI) notion, as it can facilitate a novel paradigm of an integrated blockchain ecosystem that connects state-of-the-art disparate blockchains. Currently, there is a lack of studies that comprehensively review BI, which works as a stumbling block in its development. Therefore, this article aims to articulate potential of BI by reviewing it from diverse perspectives. Beginning with a glance of blockchain architecture fundamentals, this article discusses its associated platforms, taxonomy, and consensus mechanisms. Subsequently, it argues about BI’s requirement by exemplifying its potential opportunities and application areas. Concerning BI, an architecture seems to be a missing link. Hence, this article introduces a layered architecture for the effective development of protocols and methods for interoperable blockchains. Furthermore, this article proposes an in-depth BI research taxonomy and provides an insight into the state-of-the-art projects. Finally, it determines possible open challenges and future research in the domain.

scholarly journals Designing of Nanomaterials-Based Enzymatic Biosensors: Synthesis, Properties, and Applications

Electrochem ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 149-184
Author(s):  
Francisco T. T. Cavalcante ◽  
Italo R. R. de A. Falcão ◽  
José E. da S. Souza ◽  
Thales G. Rocha ◽  
Isamayra G. de Sousa ◽  
...  
Keyword(s):  
Enzyme Immobilization ◽  
State Of The Art ◽  
Volume Ratio ◽  
The State ◽  
Future Research ◽  
Synthesis Properties ◽  
Signal Response ◽  
Enzymatic Biosensors ◽  
The Many ◽  
Biological Entities

Among the many biological entities employed in the development of biosensors, enzymes have attracted the most attention. Nanotechnology has been fostering excellent prospects in the development of enzymatic biosensors, since enzyme immobilization onto conductive nanostructures can improve characteristics that are crucial in biosensor transduction, such as surface-to-volume ratio, signal response, selectivity, sensitivity, conductivity, and biocatalytic activity, among others. These and other advantages of nanomaterial-based enzymatic biosensors are discussed in this work via the compilation of several reports on their applications in different industrial segments. To provide detailed insights into the state of the art of this technology, all the relevant concepts around the topic are discussed, including the properties of enzymes, the mechanisms involved in their immobilization, and the application of different enzyme-derived biosensors and nanomaterials. Finally, there is a discussion around the pressing challenges in this technology, which will be useful for guiding the development of future research in the area.

Sign in / Sign up

Export Citation Format

Share Document