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This is an essential resource for managers and scholars interested
in services marketing. It covers the topic comprehensively and in
novel ways. All the luminaries in the field are represented. Buy
this book and you will be up to date on the field.' - Valarie
Zeithaml, UNC Kenan-Flagler Business School, USThe Handbook of
Service Marketing Research brings together an all-star team of
leading researchers in service marketing to explore many of the
hottest topics in service marketing today. Cutting-edge topics
include: customer relationships and loyalty, customer-centered
metrics, managing customer contacts, product and pricing, digital
service marketing, rethinking the marketing function, and service
for society. This book, which includes authors from both academia
and industry, will provide academics with an invaluable current
view of the field and practitioners with a window into the latest
academic thinking. With chapters from internationally renowned
contributors, this comprehensive yet concise Handbook will appeal
to service marketing academics, researchers and service
practitioners. Contributors: M. Archpru Akaka, L. Aksoy, L.
Anderson, T.W. Andreassen, S.F.M. Beckers, M.J. Bitner, R.N.
Bolton, A. Buoye, J.W. Choi, R.M. Christopher, T.S. Chung, T.S.
Dagger, P.S. Danaher, A. De Keyser, C. Dev, B. Edvardsson, S. Fay,
R.P. Fisk, C. Frennea, A. Gustafsson, M.-H. Huang, C. Ishida, P.K.
Kannan, T.L. Keiningham, P. Kristensson, V. Kumar, S.K. Kwan, T.
van Laer, B. Lariviere, R.F. Lusch, D. Mathras, H. Melton, V.
Mittal, R.L. Oliver, A.L. Ostrom, P. Patterson, W. Reinartz, H.
Risselada, R.T. Rust, K. de Ruyter, C. Schulze, S.M. Shugan, B.
Skiera, J. Spohrer, S. Streukens, S.A. Taylor, B. Tronvoll, W.
Ulaga, N. Umashankar, S.L. Vargo, P.C. Verhoef, H.S. Wang, M.
Wedel, R.A. Westbrook, L. Williams, L. Witell, J. Xie, T. Yu
This book describes load modeling approaches for complex work
pieces and batch forgings, and demonstrates analytical modeling and
data-driven modeling approaches for known and unknown complex
forging processes. It overcomes the current shortcomings of
modeling, analysis and control approaches, presenting contributions
in three major areas: In the first, several novel modeling
approaches are proposed: a process/shape-decomposition modeling
method to help estimate the deformation force; an online
probabilistic learning machine for the modeling of batch forging
processes; and several data-driven identification and modeling
approaches for unknown forging processes under different work
conditions. The second area develops model-based dynamic analysis
methods to derive the conditions of stability and creep. Lastly,
several novel intelligent control methods are proposed for complex
forging processes. One of the most serious problems in forging
forming involves the inaccurate forging conditions, velocity and
position offered by the hydraulic actuator due to the complexity of
both the deformation process of the metal work piece and the motion
process of the hydraulic actuator. The book summarizes the current
weaknesses of modeling, analysis and control approaches. are
summarized as follows: a) With the current modeling approaches it
is difficult to model complex forging processes with unknown
parameters, as they only model the dynamics in local working areas
but do not effectively model unknown nonlinear systems across
multiple working areas; further, they do not take the batch forging
process into account, let alone its distribution modeling. b) All
previous dynamic analysis studies simplify the forging system to
having a single-frequency pressure fluctuation and neglect the
influences of non-linear load force. Further, they fail to take the
flow equation in both valves and cylinders into account. c)
Conventional control approaches only consider the linear
deformation force and pay no attention to sudden changes and the
motion synchronization for the multi-cylinder system, making them
less effective for complex, nonlinear time-varying forging
processes subject to sudden changes.
This book describes load modeling approaches for complex work
pieces and batch forgings, and demonstrates analytical modeling and
data-driven modeling approaches for known and unknown complex
forging processes. It overcomes the current shortcomings of
modeling, analysis and control approaches, presenting contributions
in three major areas: In the first, several novel modeling
approaches are proposed: a process/shape-decomposition modeling
method to help estimate the deformation force; an online
probabilistic learning machine for the modeling of batch forging
processes; and several data-driven identification and modeling
approaches for unknown forging processes under different work
conditions. The second area develops model-based dynamic analysis
methods to derive the conditions of stability and creep. Lastly,
several novel intelligent control methods are proposed for complex
forging processes. One of the most serious problems in forging
forming involves the inaccurate forging conditions, velocity and
position offered by the hydraulic actuator due to the complexity of
both the deformation process of the metal work piece and the motion
process of the hydraulic actuator. The book summarizes the current
weaknesses of modeling, analysis and control approaches. are
summarized as follows: a) With the current modeling approaches it
is difficult to model complex forging processes with unknown
parameters, as they only model the dynamics in local working areas
but do not effectively model unknown nonlinear systems across
multiple working areas; further, they do not take the batch forging
process into account, let alone its distribution modeling. b) All
previous dynamic analysis studies simplify the forging system to
having a single-frequency pressure fluctuation and neglect the
influences of non-linear load force. Further, they fail to take the
flow equation in both valves and cylinders into account. c)
Conventional control approaches only consider the linear
deformation force and pay no attention to sudden changes and the
motion synchronization for the multi-cylinder system, making them
less effective for complex, nonlinear time-varying forging
processes subject to sudden changes.
As machines are trained to "think," many tasks that previously
required human intelligence are becoming automated through
artificial intelligence. However, it is more difficult to automate
emotional intelligence, and this is where the human worker's
competitive advantage over machines currently lies. This book
explores the impact of AI on everyday life, looking into workers'
adaptation to these changes, the ways in which managers can change
the nature of jobs in light of AI developments, and the potential
for humans and AI to continue working together. The book argues
that AI is rapidly assuming a larger share of thinking tasks,
leaving human intelligence to focus on feeling. The result is the
"Feeling Economy," in which both employees and consumers emphasize
feeling to an unprecedented extent, with thinking tasks largely
delegated to AI. The book shows both theoretical and empirical
evidence that this shift is well underway. Further, it explores the
effect of the Feeling Economy on our everyday lives in the areas
such as shopping, politics, and education. Specifically, it argues
that in this new economy, through empathy and people skills, women
may gain an unprecedented degree of power and influence. This book
will appeal to readers across disciplines interested in
understanding the impact of AI on business and our daily lives. It
represents a bold, potentially controversial attempt to gauge the
direction in which society is heading.
This is an essential resource for managers and scholars interested
in services marketing. It covers the topic comprehensively and in
novel ways. All the luminaries in the field are represented. Buy
this book and you will be up to date on the field.' - Valarie
Zeithaml, UNC Kenan-Flagler Business School, USThe Handbook of
Service Marketing Research brings together an all-star team of
leading researchers in service marketing to explore many of the
hottest topics in service marketing today. Cutting-edge topics
include: customer relationships and loyalty, customer-centered
metrics, managing customer contacts, product and pricing, digital
service marketing, rethinking the marketing function, and service
for society. This book, which includes authors from both academia
and industry, will provide academics with an invaluable current
view of the field and practitioners with a window into the latest
academic thinking. With chapters from internationally renowned
contributors, this comprehensive yet concise Handbook will appeal
to service marketing academics, researchers and service
practitioners. Contributors: M. Archpru Akaka, L. Aksoy, L.
Anderson, T.W. Andreassen, S.F.M. Beckers, M.J. Bitner, R.N.
Bolton, A. Buoye, J.W. Choi, R.M. Christopher, T.S. Chung, T.S.
Dagger, P.S. Danaher, A. De Keyser, C. Dev, B. Edvardsson, S. Fay,
R.P. Fisk, C. Frennea, A. Gustafsson, M.-H. Huang, C. Ishida, P.K.
Kannan, T.L. Keiningham, P. Kristensson, V. Kumar, S.K. Kwan, T.
van Laer, B. Lariviere, R.F. Lusch, D. Mathras, H. Melton, V.
Mittal, R.L. Oliver, A.L. Ostrom, P. Patterson, W. Reinartz, H.
Risselada, R.T. Rust, K. de Ruyter, C. Schulze, S.M. Shugan, B.
Skiera, J. Spohrer, S. Streukens, S.A. Taylor, B. Tronvoll, W.
Ulaga, N. Umashankar, S.L. Vargo, P.C. Verhoef, H.S. Wang, M.
Wedel, R.A. Westbrook, L. Williams, L. Witell, J. Xie, T. Yu
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